Add E2E-ADS-Recon checkpoints (name.yaml + name.pt) for CMRxRecon / MIDL 2026
Browse files- medl_ads_1d.pt +3 -0
- medl_ads_1d.yaml +240 -0
- medl_ads_1d_frame.pt +3 -0
- medl_ads_1d_frame.yaml +352 -0
- medl_ads_1d_frame_init2.pt +3 -0
- medl_ads_1d_frame_init2.yaml +267 -0
- medl_ads_1d_init2.pt +3 -0
- medl_ads_1d_init2.yaml +291 -0
- medl_ads_2d.pt +3 -0
- medl_ads_2d.yaml +211 -0
- medl_ads_2d_frame.pt +3 -0
- medl_ads_2d_frame.yaml +252 -0
- vsharp_ads_1d.pt +3 -0
- vsharp_ads_1d.yaml +263 -0
- vsharp_ads_1d_frame.pt +3 -0
- vsharp_ads_1d_frame.yaml +375 -0
- vsharp_ads_1d_frame_init2.pt +3 -0
- vsharp_ads_1d_frame_init2.yaml +289 -0
- vsharp_ads_1d_init2.pt +3 -0
- vsharp_ads_1d_init2.yaml +314 -0
- vsharp_ads_2d.pt +3 -0
- vsharp_ads_2d.yaml +231 -0
- vsharp_ads_2d_frame.pt +3 -0
- vsharp_ads_2d_frame.yaml +272 -0
medl_ads_1d.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:faac55f9c3b3cf2d587568824953b8a96463a6fc64c45f5b8b7588e1dc039160
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size 1815559051
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medl_ads_1d.yaml
ADDED
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model:
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model_name: medl.medl.MEDL3D
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engine_name: null
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iterations: 3
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num_layers: 3
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+
unet_num_filters: 18
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unet_num_pool_layers: 4
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unet_dropout: 0.0
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unet_norm: false
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additional_models:
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sampling_model:
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model_name: adaptive.policy.StraightThroughPolicy
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engine_name: null
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sampling_dimension: ONE_D
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st_slope: 10.0
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st_clamp: false
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use_softplus: true
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slope: 10.0
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fix_sign_leakage: true
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acceleration: null
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kspace_shape:
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- 12
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- 512
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- 246
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num_layers: 2
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kspace_sampler: false
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sampler_detach_mask: false
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sampler_chans: 16
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sampler_num_pool_layers: 3
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sampler_fc_size: 128
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sampler_drop_prob: 0.0
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sampler_num_fc_layers: 3
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sampler_activation: LEAKY_RELU
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sampling_type: STATIC
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num_time_steps: null
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num_slices: null
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sensitivity_model:
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model_name: unet.unet_2d.UnetModel2d
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engine_name: null
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in_channels: 2
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out_channels: 2
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num_filters: 16
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num_pool_layers: 4
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dropout_probability: 0.0
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physics:
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| 46 |
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forward_operator: fft2
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| 47 |
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backward_operator: ifft2
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| 48 |
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use_noise_matrix: false
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| 49 |
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noise_matrix_scaling: 1.0
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| 50 |
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training:
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| 51 |
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datasets:
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- name: CMRxRecon
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| 53 |
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kspace_context: time
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| 54 |
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text_description: train
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| 55 |
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transforms:
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| 56 |
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padding_eps: 0.0
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| 57 |
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masking:
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| 58 |
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name: FastMRIRandom
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| 59 |
+
accelerations:
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| 60 |
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- 4.0327
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| 61 |
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- 6
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| 62 |
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- 8.2
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| 63 |
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center_fractions:
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| 64 |
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- 0.04
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| 65 |
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- 0.04
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| 66 |
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- 0.04
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| 67 |
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use_seed: false
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| 68 |
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delete_kspace: false
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| 69 |
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delete_acs_mask: false
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| 70 |
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use_acs_as_mask: true
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| 71 |
+
augmentation:
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| 72 |
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pad:
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| 73 |
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- 512
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| 74 |
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- 246
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| 75 |
+
sensitivity_map_estimation:
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| 76 |
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estimate_sensitivity_maps: true
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normalization:
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| 78 |
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scaling_key: acs_kspace
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scale_percentile: 0.995
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| 80 |
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random_augmentations:
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| 81 |
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random_rotation_probability: 0.0
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| 82 |
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random_flip_probability: 0.5
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| 83 |
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model_checkpoint: null
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| 84 |
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optimizer: Adam
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| 85 |
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lr: 0.003
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| 86 |
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weight_decay: 0.0
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| 87 |
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batch_size: 1
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| 88 |
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lr_step_size: 10000
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| 89 |
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lr_gamma: 0.8
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| 90 |
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lr_warmup_iter: 2000
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| 91 |
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swa_start_iter: null
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| 92 |
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num_iterations: 60001
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| 93 |
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validation_steps: 4000
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| 94 |
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gradient_steps: 1
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| 95 |
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gradient_clipping: 0.0
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| 96 |
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gradient_debug: false
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| 97 |
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loss:
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| 98 |
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crop: null
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| 99 |
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losses:
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| 100 |
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- function: l2_loss
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| 101 |
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multiplier: 1
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| 102 |
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checkpointer:
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| 103 |
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checkpoint_steps: 2000
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| 104 |
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metrics: []
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| 105 |
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regularizers: []
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| 106 |
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validation:
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| 107 |
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datasets:
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| 108 |
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- name: CMRxRecon
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| 109 |
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kspace_context: time
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| 110 |
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text_description: val-4x
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| 111 |
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transforms:
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| 112 |
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padding_eps: 0.0
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| 113 |
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masking:
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| 114 |
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name: FastMRIRandom
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| 115 |
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accelerations:
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| 116 |
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- 4.0327
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| 117 |
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center_fractions:
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| 118 |
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- 0.04
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| 119 |
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use_seed: true
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| 120 |
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delete_kspace: false
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| 121 |
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delete_acs_mask: false
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| 122 |
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use_acs_as_mask: true
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| 123 |
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augmentation:
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| 124 |
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pad:
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| 125 |
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- 512
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| 126 |
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- 246
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| 127 |
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sensitivity_map_estimation:
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| 128 |
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estimate_sensitivity_maps: true
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| 129 |
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normalization:
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| 130 |
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scaling_key: acs_kspace
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| 131 |
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scale_percentile: 0.995
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| 132 |
+
random_augmentations:
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| 133 |
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random_rotation_probability: 0.0
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| 134 |
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random_flip_probability: 0.0
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| 135 |
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- name: CMRxRecon
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| 136 |
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kspace_context: time
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| 137 |
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text_description: val-6x
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| 138 |
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transforms:
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| 139 |
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padding_eps: 0.0
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| 140 |
+
masking:
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| 141 |
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name: FastMRIRandom
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| 142 |
+
accelerations:
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| 143 |
+
- 6
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| 144 |
+
center_fractions:
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| 145 |
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- 0.04
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| 146 |
+
use_seed: true
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| 147 |
+
delete_kspace: false
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| 148 |
+
delete_acs_mask: false
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| 149 |
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use_acs_as_mask: true
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| 150 |
+
augmentation:
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| 151 |
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pad:
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| 152 |
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- 512
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| 153 |
+
- 246
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| 154 |
+
sensitivity_map_estimation:
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| 155 |
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estimate_sensitivity_maps: true
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| 156 |
+
normalization:
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| 157 |
+
scaling_key: acs_kspace
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| 158 |
+
scale_percentile: 0.995
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| 159 |
+
random_augmentations:
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| 160 |
+
random_rotation_probability: 0.0
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| 161 |
+
random_flip_probability: 0.0
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| 162 |
+
- name: CMRxRecon
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| 163 |
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kspace_context: time
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| 164 |
+
text_description: val-8x
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| 165 |
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transforms:
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| 166 |
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padding_eps: 0.0
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| 167 |
+
masking:
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| 168 |
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name: FastMRIRandom
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| 169 |
+
accelerations:
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| 170 |
+
- 8.2
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| 171 |
+
center_fractions:
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| 172 |
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- 0.04
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| 173 |
+
use_seed: true
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| 174 |
+
delete_kspace: false
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| 175 |
+
delete_acs_mask: false
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| 176 |
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use_acs_as_mask: true
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| 177 |
+
augmentation:
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| 178 |
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pad:
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| 179 |
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- 512
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| 180 |
+
- 246
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| 181 |
+
sensitivity_map_estimation:
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| 182 |
+
estimate_sensitivity_maps: true
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| 183 |
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normalization:
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| 184 |
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scaling_key: acs_kspace
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| 185 |
+
scale_percentile: 0.995
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| 186 |
+
random_augmentations:
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| 187 |
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random_rotation_probability: 0.0
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| 188 |
+
random_flip_probability: 0.0
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| 189 |
+
batch_size: 1
|
| 190 |
+
metrics:
|
| 191 |
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- fastmri_ssim
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| 192 |
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- fastmri_psnr
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| 193 |
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regularizers: []
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| 194 |
+
crop: header
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| 195 |
+
inference:
|
| 196 |
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dataset:
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| 197 |
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name: CMRxRecon
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| 198 |
+
transforms:
|
| 199 |
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padding_eps: 0.0
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| 200 |
+
masking:
|
| 201 |
+
name: FastMRIRandom
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| 202 |
+
accelerations:
|
| 203 |
+
- 4.0327
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| 204 |
+
center_fractions:
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| 205 |
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- 0.04
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| 206 |
+
use_seed: true
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| 207 |
+
delete_kspace: false
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| 208 |
+
delete_acs_mask: false
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| 209 |
+
use_acs_as_mask: true
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| 210 |
+
augmentation:
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| 211 |
+
pad:
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| 212 |
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- 512
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| 213 |
+
- 246
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| 214 |
+
sensitivity_map_estimation:
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| 215 |
+
estimate_sensitivity_maps: true
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| 216 |
+
normalization:
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| 217 |
+
scaling_key: acs_kspace
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| 218 |
+
scale_percentile: 0.995
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| 219 |
+
random_augmentations:
|
| 220 |
+
random_rotation_probability: 0.0
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| 221 |
+
random_flip_probability: 0.0
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| 222 |
+
text_description: inference
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| 223 |
+
data_root: null
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| 224 |
+
filenames_filter: null
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| 225 |
+
filenames_lists: null
|
| 226 |
+
filenames_lists_root: null
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| 227 |
+
kspace_key: kspace_full
|
| 228 |
+
compute_mask: false
|
| 229 |
+
extra_keys: null
|
| 230 |
+
kspace_context: time
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| 231 |
+
batch_size: 1
|
| 232 |
+
metrics:
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| 233 |
+
- fastmri_ssim
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| 234 |
+
- fastmri_psnr
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| 235 |
+
- fastmri_nmse
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| 236 |
+
crop: header
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| 237 |
+
logging:
|
| 238 |
+
log_as_image: null
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| 239 |
+
tensorboard:
|
| 240 |
+
num_images: 4
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medl_ads_1d_frame.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:3ed0c3e4d5002ea6ee2e62df1131a23584fefed7af34849d41cc2390ad82f9e7
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| 3 |
+
size 1823936843
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medl_ads_1d_frame.yaml
ADDED
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@@ -0,0 +1,352 @@
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|
| 1 |
+
model:
|
| 2 |
+
model_name: medl.medl.MEDL3D
|
| 3 |
+
engine_name: null
|
| 4 |
+
iterations: 3
|
| 5 |
+
num_layers: 3
|
| 6 |
+
unet_num_filters: 18
|
| 7 |
+
unet_num_pool_layers: 4
|
| 8 |
+
unet_dropout: 0.0
|
| 9 |
+
unet_norm: false
|
| 10 |
+
additional_models:
|
| 11 |
+
sampling_model:
|
| 12 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 13 |
+
engine_name: null
|
| 14 |
+
sampling_dimension: ONE_D
|
| 15 |
+
st_slope: 10.0
|
| 16 |
+
st_clamp: false
|
| 17 |
+
use_softplus: true
|
| 18 |
+
slope: 10.0
|
| 19 |
+
fix_sign_leakage: true
|
| 20 |
+
acceleration: null
|
| 21 |
+
kspace_shape:
|
| 22 |
+
- 512
|
| 23 |
+
- 246
|
| 24 |
+
num_layers: 2
|
| 25 |
+
kspace_sampler: false
|
| 26 |
+
sampler_detach_mask: false
|
| 27 |
+
sampler_chans: 16
|
| 28 |
+
sampler_num_pool_layers: 3
|
| 29 |
+
sampler_fc_size: 128
|
| 30 |
+
sampler_drop_prob: 0.0
|
| 31 |
+
sampler_num_fc_layers: 3
|
| 32 |
+
sampler_activation: LEAKY_RELU
|
| 33 |
+
sampling_type: DYNAMIC_2D
|
| 34 |
+
num_time_steps: 12
|
| 35 |
+
num_slices: null
|
| 36 |
+
sensitivity_model:
|
| 37 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 38 |
+
engine_name: null
|
| 39 |
+
in_channels: 2
|
| 40 |
+
out_channels: 2
|
| 41 |
+
num_filters: 16
|
| 42 |
+
num_pool_layers: 4
|
| 43 |
+
dropout_probability: 0.0
|
| 44 |
+
physics:
|
| 45 |
+
forward_operator: fft2
|
| 46 |
+
backward_operator: ifft2
|
| 47 |
+
use_noise_matrix: false
|
| 48 |
+
noise_matrix_scaling: 1.0
|
| 49 |
+
training:
|
| 50 |
+
datasets:
|
| 51 |
+
- name: CMRxRecon
|
| 52 |
+
kspace_context: time
|
| 53 |
+
text_description: train-4x
|
| 54 |
+
transforms:
|
| 55 |
+
padding_eps: 0.0
|
| 56 |
+
masking:
|
| 57 |
+
name: FastMRIRandom
|
| 58 |
+
mode: DYNAMIC
|
| 59 |
+
accelerations:
|
| 60 |
+
- 4.0327
|
| 61 |
+
center_fractions:
|
| 62 |
+
- 0.04
|
| 63 |
+
use_seed: false
|
| 64 |
+
delete_kspace: false
|
| 65 |
+
delete_acs_mask: false
|
| 66 |
+
use_acs_as_mask: true
|
| 67 |
+
augmentation:
|
| 68 |
+
pad:
|
| 69 |
+
- 512
|
| 70 |
+
- 246
|
| 71 |
+
sensitivity_map_estimation:
|
| 72 |
+
estimate_sensitivity_maps: true
|
| 73 |
+
normalization:
|
| 74 |
+
scaling_key: acs_kspace
|
| 75 |
+
scale_percentile: 0.995
|
| 76 |
+
random_augmentations:
|
| 77 |
+
random_rotation_probability: 0.0
|
| 78 |
+
random_flip_probability: 0.5
|
| 79 |
+
- name: CMRxRecon
|
| 80 |
+
kspace_context: time
|
| 81 |
+
text_description: train-6x
|
| 82 |
+
transforms:
|
| 83 |
+
padding_eps: 0.0
|
| 84 |
+
masking:
|
| 85 |
+
name: FastMRIRandom
|
| 86 |
+
mode: DYNAMIC
|
| 87 |
+
accelerations:
|
| 88 |
+
- 6
|
| 89 |
+
center_fractions:
|
| 90 |
+
- 0.04
|
| 91 |
+
use_seed: false
|
| 92 |
+
delete_kspace: false
|
| 93 |
+
delete_acs_mask: false
|
| 94 |
+
use_acs_as_mask: true
|
| 95 |
+
augmentation:
|
| 96 |
+
pad:
|
| 97 |
+
- 512
|
| 98 |
+
- 246
|
| 99 |
+
sensitivity_map_estimation:
|
| 100 |
+
estimate_sensitivity_maps: true
|
| 101 |
+
normalization:
|
| 102 |
+
scaling_key: acs_kspace
|
| 103 |
+
scale_percentile: 0.995
|
| 104 |
+
random_augmentations:
|
| 105 |
+
random_rotation_probability: 0.0
|
| 106 |
+
random_flip_probability: 0.5
|
| 107 |
+
- name: CMRxRecon
|
| 108 |
+
kspace_context: time
|
| 109 |
+
text_description: train-8x
|
| 110 |
+
transforms:
|
| 111 |
+
padding_eps: 0.0
|
| 112 |
+
masking:
|
| 113 |
+
name: FastMRIRandom
|
| 114 |
+
mode: DYNAMIC
|
| 115 |
+
accelerations:
|
| 116 |
+
- 8.2
|
| 117 |
+
center_fractions:
|
| 118 |
+
- 0.04
|
| 119 |
+
use_seed: false
|
| 120 |
+
delete_kspace: false
|
| 121 |
+
delete_acs_mask: false
|
| 122 |
+
use_acs_as_mask: true
|
| 123 |
+
augmentation:
|
| 124 |
+
pad:
|
| 125 |
+
- 512
|
| 126 |
+
- 246
|
| 127 |
+
sensitivity_map_estimation:
|
| 128 |
+
estimate_sensitivity_maps: true
|
| 129 |
+
normalization:
|
| 130 |
+
scaling_key: acs_kspace
|
| 131 |
+
scale_percentile: 0.995
|
| 132 |
+
random_augmentations:
|
| 133 |
+
random_rotation_probability: 0.0
|
| 134 |
+
random_flip_probability: 0.5
|
| 135 |
+
model_checkpoint: null
|
| 136 |
+
optimizer: Adam
|
| 137 |
+
lr: 0.003
|
| 138 |
+
weight_decay: 0.0
|
| 139 |
+
batch_size: 1
|
| 140 |
+
lr_step_size: 10000
|
| 141 |
+
lr_gamma: 0.8
|
| 142 |
+
lr_warmup_iter: 2000
|
| 143 |
+
swa_start_iter: null
|
| 144 |
+
num_iterations: 60001
|
| 145 |
+
validation_steps: 10000
|
| 146 |
+
gradient_steps: 1
|
| 147 |
+
gradient_clipping: 0.0
|
| 148 |
+
gradient_debug: false
|
| 149 |
+
loss:
|
| 150 |
+
crop: null
|
| 151 |
+
losses:
|
| 152 |
+
- function: l2_loss
|
| 153 |
+
multiplier: 1
|
| 154 |
+
checkpointer:
|
| 155 |
+
checkpoint_steps: 2000
|
| 156 |
+
metrics: []
|
| 157 |
+
regularizers: []
|
| 158 |
+
validation:
|
| 159 |
+
datasets:
|
| 160 |
+
- name: CMRxRecon
|
| 161 |
+
kspace_context: time
|
| 162 |
+
text_description: val-4x
|
| 163 |
+
transforms:
|
| 164 |
+
padding_eps: 0.0
|
| 165 |
+
masking:
|
| 166 |
+
name: FastMRIRandom
|
| 167 |
+
mode: DYNAMIC
|
| 168 |
+
accelerations:
|
| 169 |
+
- 4.0327
|
| 170 |
+
center_fractions:
|
| 171 |
+
- 0.04
|
| 172 |
+
use_seed: true
|
| 173 |
+
delete_kspace: false
|
| 174 |
+
delete_acs_mask: false
|
| 175 |
+
use_acs_as_mask: true
|
| 176 |
+
augmentation:
|
| 177 |
+
pad:
|
| 178 |
+
- 512
|
| 179 |
+
- 246
|
| 180 |
+
sensitivity_map_estimation:
|
| 181 |
+
estimate_sensitivity_maps: true
|
| 182 |
+
normalization:
|
| 183 |
+
scaling_key: acs_kspace
|
| 184 |
+
scale_percentile: 0.995
|
| 185 |
+
random_augmentations:
|
| 186 |
+
random_rotation_probability: 0.0
|
| 187 |
+
random_flip_probability: 0.0
|
| 188 |
+
- name: CMRxRecon
|
| 189 |
+
kspace_context: time
|
| 190 |
+
text_description: val-6x
|
| 191 |
+
transforms:
|
| 192 |
+
padding_eps: 0.0
|
| 193 |
+
masking:
|
| 194 |
+
name: FastMRIRandom
|
| 195 |
+
mode: DYNAMIC
|
| 196 |
+
accelerations:
|
| 197 |
+
- 6
|
| 198 |
+
center_fractions:
|
| 199 |
+
- 0.04
|
| 200 |
+
use_seed: true
|
| 201 |
+
delete_kspace: false
|
| 202 |
+
delete_acs_mask: false
|
| 203 |
+
use_acs_as_mask: true
|
| 204 |
+
augmentation:
|
| 205 |
+
pad:
|
| 206 |
+
- 512
|
| 207 |
+
- 246
|
| 208 |
+
sensitivity_map_estimation:
|
| 209 |
+
estimate_sensitivity_maps: true
|
| 210 |
+
normalization:
|
| 211 |
+
scaling_key: acs_kspace
|
| 212 |
+
scale_percentile: 0.995
|
| 213 |
+
random_augmentations:
|
| 214 |
+
random_rotation_probability: 0.0
|
| 215 |
+
random_flip_probability: 0.0
|
| 216 |
+
- name: CMRxRecon
|
| 217 |
+
kspace_context: time
|
| 218 |
+
text_description: val-8x
|
| 219 |
+
transforms:
|
| 220 |
+
padding_eps: 0.0
|
| 221 |
+
masking:
|
| 222 |
+
name: FastMRIRandom
|
| 223 |
+
mode: DYNAMIC
|
| 224 |
+
accelerations:
|
| 225 |
+
- 8.2
|
| 226 |
+
center_fractions:
|
| 227 |
+
- 0.04
|
| 228 |
+
use_seed: true
|
| 229 |
+
delete_kspace: false
|
| 230 |
+
delete_acs_mask: false
|
| 231 |
+
use_acs_as_mask: true
|
| 232 |
+
augmentation:
|
| 233 |
+
pad:
|
| 234 |
+
- 512
|
| 235 |
+
- 246
|
| 236 |
+
sensitivity_map_estimation:
|
| 237 |
+
estimate_sensitivity_maps: true
|
| 238 |
+
normalization:
|
| 239 |
+
scaling_key: acs_kspace
|
| 240 |
+
scale_percentile: 0.995
|
| 241 |
+
random_augmentations:
|
| 242 |
+
random_rotation_probability: 0.0
|
| 243 |
+
random_flip_probability: 0.0
|
| 244 |
+
batch_size: 1
|
| 245 |
+
metrics:
|
| 246 |
+
- fastmri_ssim
|
| 247 |
+
- fastmri_psnr
|
| 248 |
+
regularizers: []
|
| 249 |
+
crop: null
|
| 250 |
+
inference:
|
| 251 |
+
dataset:
|
| 252 |
+
name: CMRxRecon
|
| 253 |
+
transforms:
|
| 254 |
+
masking:
|
| 255 |
+
name: FastMRIRandom
|
| 256 |
+
accelerations:
|
| 257 |
+
- 8.2
|
| 258 |
+
center_fractions:
|
| 259 |
+
- 0.04
|
| 260 |
+
mode: DYNAMIC
|
| 261 |
+
val_accelerations:
|
| 262 |
+
- 5.0
|
| 263 |
+
- 10.0
|
| 264 |
+
val_center_fractions:
|
| 265 |
+
- 0.1
|
| 266 |
+
- 0.05
|
| 267 |
+
range_mode: DISCRETE
|
| 268 |
+
target_acceleration: null
|
| 269 |
+
cropping:
|
| 270 |
+
crop: null
|
| 271 |
+
crop_type: uniform
|
| 272 |
+
image_center_crop: false
|
| 273 |
+
augmentation:
|
| 274 |
+
rescale: null
|
| 275 |
+
rescale_mode: NEAREST
|
| 276 |
+
rescale_2d_if_3d: false
|
| 277 |
+
pad:
|
| 278 |
+
- 512
|
| 279 |
+
- 246
|
| 280 |
+
random_augmentations:
|
| 281 |
+
random_rotation_degrees:
|
| 282 |
+
- -90
|
| 283 |
+
- 90
|
| 284 |
+
random_rotation_probability: 0.0
|
| 285 |
+
random_flip_type: RANDOM
|
| 286 |
+
random_flip_probability: 0.0
|
| 287 |
+
random_reverse_probability: 0.0
|
| 288 |
+
padding_eps: 0.0
|
| 289 |
+
estimate_body_coil_image: false
|
| 290 |
+
sensitivity_map_estimation:
|
| 291 |
+
estimate_sensitivity_maps: true
|
| 292 |
+
sensitivity_maps_type: RSS_ESTIMATE
|
| 293 |
+
sensitivity_maps_espirit_threshold: 0.05
|
| 294 |
+
sensitivity_maps_espirit_kernel_size: 6
|
| 295 |
+
sensitivity_maps_espirit_crop: 0.95
|
| 296 |
+
sensitivity_maps_espirit_max_iters: 30
|
| 297 |
+
sensitivity_maps_gaussian: 0.7
|
| 298 |
+
normalization:
|
| 299 |
+
scaling_key: acs_kspace
|
| 300 |
+
scale_percentile: 0.995
|
| 301 |
+
use_acs_as_mask: true
|
| 302 |
+
delete_acs_mask: false
|
| 303 |
+
delete_kspace: false
|
| 304 |
+
image_recon_type: RSS
|
| 305 |
+
compress_coils: null
|
| 306 |
+
pad_coils: null
|
| 307 |
+
registration:
|
| 308 |
+
registration: false
|
| 309 |
+
registration_simulate_reference: null
|
| 310 |
+
registration_simulate_elastic_sigma: 3.0
|
| 311 |
+
registration_simulate_elastic_points: 3
|
| 312 |
+
registration_simulate_elastic_rotate: 0.0
|
| 313 |
+
registration_simulate_elastic_zoom: 0.0
|
| 314 |
+
registration_estimate_displacement: true
|
| 315 |
+
registration_simulate_reference_from_key_index: 0
|
| 316 |
+
registration_moving_key: TARGET
|
| 317 |
+
demons_filter_type: SYMMETRIC_FORCES
|
| 318 |
+
demons_num_iterations: 100
|
| 319 |
+
demons_smooth_displacement_field: true
|
| 320 |
+
demons_standard_deviations: 1.5
|
| 321 |
+
demons_intensity_difference_threshold: null
|
| 322 |
+
demons_maximum_rms_error: null
|
| 323 |
+
use_seed: true
|
| 324 |
+
transforms_type: SUPERVISED
|
| 325 |
+
mask_split_ratio:
|
| 326 |
+
- 0.4
|
| 327 |
+
mask_split_acs_region:
|
| 328 |
+
- 0
|
| 329 |
+
- 0
|
| 330 |
+
mask_split_keep_acs: false
|
| 331 |
+
mask_split_type: GAUSSIAN
|
| 332 |
+
mask_split_gaussian_std: 3.0
|
| 333 |
+
mask_split_half_direction: VERTICAL
|
| 334 |
+
text_description: inference-8x
|
| 335 |
+
data_root: null
|
| 336 |
+
filenames_filter: null
|
| 337 |
+
filenames_lists: null
|
| 338 |
+
filenames_lists_root: null
|
| 339 |
+
kspace_key: kspace_full
|
| 340 |
+
compute_mask: false
|
| 341 |
+
extra_keys: null
|
| 342 |
+
kspace_context: time
|
| 343 |
+
batch_size: 1
|
| 344 |
+
metrics:
|
| 345 |
+
- fastmri_ssim
|
| 346 |
+
- fastmri_psnr
|
| 347 |
+
- fastmri_nmse
|
| 348 |
+
crop: null
|
| 349 |
+
logging:
|
| 350 |
+
log_as_image: null
|
| 351 |
+
tensorboard:
|
| 352 |
+
num_images: 4
|
medl_ads_1d_frame_init2.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3b8ec7c709671b7a1f5997994fb1b0763dcfcb742a1591fbe5ccfc8020e3d383
|
| 3 |
+
size 1823936843
|
medl_ads_1d_frame_init2.yaml
ADDED
|
@@ -0,0 +1,267 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model:
|
| 2 |
+
model_name: medl.medl.MEDL3D
|
| 3 |
+
engine_name: null
|
| 4 |
+
iterations: 3
|
| 5 |
+
num_layers: 3
|
| 6 |
+
unet_num_filters: 18
|
| 7 |
+
unet_num_pool_layers: 4
|
| 8 |
+
unet_dropout: 0.0
|
| 9 |
+
unet_norm: false
|
| 10 |
+
additional_models:
|
| 11 |
+
sampling_model:
|
| 12 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 13 |
+
sampling_dimension: ONE_D
|
| 14 |
+
st_slope: 10.0
|
| 15 |
+
st_clamp: false
|
| 16 |
+
use_softplus: true
|
| 17 |
+
slope: 10.0
|
| 18 |
+
fix_sign_leakage: true
|
| 19 |
+
acceleration: null
|
| 20 |
+
kspace_shape:
|
| 21 |
+
- 512
|
| 22 |
+
- 246
|
| 23 |
+
num_layers: 2
|
| 24 |
+
kspace_sampler: false
|
| 25 |
+
sampler_detach_mask: false
|
| 26 |
+
sampler_chans: 16
|
| 27 |
+
sampler_num_pool_layers: 3
|
| 28 |
+
sampler_fc_size: 128
|
| 29 |
+
sampler_drop_prob: 0.0
|
| 30 |
+
sampler_num_fc_layers: 3
|
| 31 |
+
sampler_activation: LEAKY_RELU
|
| 32 |
+
sampling_type: DYNAMIC_2D
|
| 33 |
+
num_time_steps: 12
|
| 34 |
+
num_slices: null
|
| 35 |
+
engine_name: null
|
| 36 |
+
sensitivity_model:
|
| 37 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 38 |
+
engine_name: null
|
| 39 |
+
in_channels: 2
|
| 40 |
+
out_channels: 2
|
| 41 |
+
num_filters: 16
|
| 42 |
+
num_pool_layers: 4
|
| 43 |
+
dropout_probability: 0.0
|
| 44 |
+
physics:
|
| 45 |
+
forward_operator: fft2
|
| 46 |
+
backward_operator: ifft2
|
| 47 |
+
use_noise_matrix: false
|
| 48 |
+
noise_matrix_scaling: 1.0
|
| 49 |
+
training:
|
| 50 |
+
datasets:
|
| 51 |
+
- name: CMRxRecon
|
| 52 |
+
kspace_context: time
|
| 53 |
+
text_description: train-4x
|
| 54 |
+
transforms:
|
| 55 |
+
masking:
|
| 56 |
+
name: FastMRIEquispaced
|
| 57 |
+
accelerations:
|
| 58 |
+
- 6
|
| 59 |
+
center_fractions:
|
| 60 |
+
- 0.04
|
| 61 |
+
target_acceleration: 4.0327
|
| 62 |
+
dynamic_mask: true
|
| 63 |
+
use_seed: false
|
| 64 |
+
delete_kspace: false
|
| 65 |
+
delete_acs_mask: false
|
| 66 |
+
use_acs_as_mask: false
|
| 67 |
+
augmentation:
|
| 68 |
+
pad:
|
| 69 |
+
- 512
|
| 70 |
+
- 246
|
| 71 |
+
sensitivity_map_estimation:
|
| 72 |
+
estimate_sensitivity_maps: true
|
| 73 |
+
normalization:
|
| 74 |
+
scaling_key: acs_kspace
|
| 75 |
+
scale_percentile: 0.995
|
| 76 |
+
- name: CMRxRecon
|
| 77 |
+
kspace_context: time
|
| 78 |
+
text_description: train-6x
|
| 79 |
+
transforms:
|
| 80 |
+
masking:
|
| 81 |
+
name: FastMRIEquispaced
|
| 82 |
+
accelerations:
|
| 83 |
+
- 8.2
|
| 84 |
+
center_fractions:
|
| 85 |
+
- 0.04
|
| 86 |
+
target_acceleration: 6
|
| 87 |
+
dynamic_mask: true
|
| 88 |
+
use_seed: false
|
| 89 |
+
delete_kspace: false
|
| 90 |
+
delete_acs_mask: false
|
| 91 |
+
use_acs_as_mask: false
|
| 92 |
+
augmentation:
|
| 93 |
+
pad:
|
| 94 |
+
- 512
|
| 95 |
+
- 246
|
| 96 |
+
sensitivity_map_estimation:
|
| 97 |
+
estimate_sensitivity_maps: true
|
| 98 |
+
normalization:
|
| 99 |
+
scaling_key: acs_kspace
|
| 100 |
+
scale_percentile: 0.995
|
| 101 |
+
- name: CMRxRecon
|
| 102 |
+
kspace_context: time
|
| 103 |
+
text_description: train-8x
|
| 104 |
+
transforms:
|
| 105 |
+
masking:
|
| 106 |
+
name: FastMRIEquispaced
|
| 107 |
+
accelerations:
|
| 108 |
+
- 10.25
|
| 109 |
+
center_fractions:
|
| 110 |
+
- 0.04
|
| 111 |
+
target_acceleration: 8.2
|
| 112 |
+
dynamic_mask: true
|
| 113 |
+
use_seed: false
|
| 114 |
+
delete_kspace: false
|
| 115 |
+
delete_acs_mask: false
|
| 116 |
+
use_acs_as_mask: false
|
| 117 |
+
augmentation:
|
| 118 |
+
pad:
|
| 119 |
+
- 512
|
| 120 |
+
- 246
|
| 121 |
+
sensitivity_map_estimation:
|
| 122 |
+
estimate_sensitivity_maps: true
|
| 123 |
+
normalization:
|
| 124 |
+
scaling_key: acs_kspace
|
| 125 |
+
scale_percentile: 0.995
|
| 126 |
+
model_checkpoint: null
|
| 127 |
+
optimizer: Adam
|
| 128 |
+
lr: 0.003
|
| 129 |
+
weight_decay: 0.0
|
| 130 |
+
batch_size: 1
|
| 131 |
+
lr_step_size: 10000
|
| 132 |
+
lr_gamma: 0.8
|
| 133 |
+
lr_warmup_iter: 2000
|
| 134 |
+
swa_start_iter: null
|
| 135 |
+
num_iterations: 60021
|
| 136 |
+
validation_steps: 4000
|
| 137 |
+
gradient_steps: 1
|
| 138 |
+
gradient_clipping: 0.0
|
| 139 |
+
gradient_debug: false
|
| 140 |
+
loss:
|
| 141 |
+
crop: null
|
| 142 |
+
losses:
|
| 143 |
+
- function: l2_loss
|
| 144 |
+
multiplier: 1
|
| 145 |
+
checkpointer:
|
| 146 |
+
checkpoint_steps: 2000
|
| 147 |
+
metrics: []
|
| 148 |
+
regularizers: []
|
| 149 |
+
validation:
|
| 150 |
+
datasets:
|
| 151 |
+
- name: CMRxRecon
|
| 152 |
+
kspace_context: time
|
| 153 |
+
text_description: val-4x
|
| 154 |
+
transforms:
|
| 155 |
+
masking:
|
| 156 |
+
name: FastMRIEquispaced
|
| 157 |
+
accelerations:
|
| 158 |
+
- 6
|
| 159 |
+
center_fractions:
|
| 160 |
+
- 0.04
|
| 161 |
+
target_acceleration: 4
|
| 162 |
+
dynamic_mask: true
|
| 163 |
+
use_seed: true
|
| 164 |
+
delete_kspace: false
|
| 165 |
+
delete_acs_mask: false
|
| 166 |
+
use_acs_as_mask: false
|
| 167 |
+
augmentation:
|
| 168 |
+
pad:
|
| 169 |
+
- 512
|
| 170 |
+
- 246
|
| 171 |
+
sensitivity_map_estimation:
|
| 172 |
+
estimate_sensitivity_maps: true
|
| 173 |
+
normalization:
|
| 174 |
+
scaling_key: acs_kspace
|
| 175 |
+
scale_percentile: 0.995
|
| 176 |
+
- name: CMRxRecon
|
| 177 |
+
kspace_context: time
|
| 178 |
+
text_description: val-6x
|
| 179 |
+
transforms:
|
| 180 |
+
masking:
|
| 181 |
+
name: FastMRIEquispaced
|
| 182 |
+
accelerations:
|
| 183 |
+
- 8.2
|
| 184 |
+
center_fractions:
|
| 185 |
+
- 0.04
|
| 186 |
+
target_acceleration: 6
|
| 187 |
+
dynamic_mask: true
|
| 188 |
+
use_seed: true
|
| 189 |
+
delete_kspace: false
|
| 190 |
+
delete_acs_mask: false
|
| 191 |
+
use_acs_as_mask: false
|
| 192 |
+
augmentation:
|
| 193 |
+
pad:
|
| 194 |
+
- 512
|
| 195 |
+
- 246
|
| 196 |
+
sensitivity_map_estimation:
|
| 197 |
+
estimate_sensitivity_maps: true
|
| 198 |
+
normalization:
|
| 199 |
+
scaling_key: acs_kspace
|
| 200 |
+
scale_percentile: 0.995
|
| 201 |
+
- name: CMRxRecon
|
| 202 |
+
kspace_context: time
|
| 203 |
+
text_description: val-8x
|
| 204 |
+
transforms:
|
| 205 |
+
masking:
|
| 206 |
+
name: FastMRIEquispaced
|
| 207 |
+
accelerations:
|
| 208 |
+
- 10.25
|
| 209 |
+
center_fractions:
|
| 210 |
+
- 0.04
|
| 211 |
+
target_acceleration: 8.2
|
| 212 |
+
dynamic_mask: true
|
| 213 |
+
use_seed: true
|
| 214 |
+
delete_kspace: false
|
| 215 |
+
delete_acs_mask: false
|
| 216 |
+
use_acs_as_mask: false
|
| 217 |
+
augmentation:
|
| 218 |
+
pad:
|
| 219 |
+
- 512
|
| 220 |
+
- 246
|
| 221 |
+
sensitivity_map_estimation:
|
| 222 |
+
estimate_sensitivity_maps: true
|
| 223 |
+
normalization:
|
| 224 |
+
scaling_key: acs_kspace
|
| 225 |
+
scale_percentile: 0.995
|
| 226 |
+
batch_size: 1
|
| 227 |
+
metrics:
|
| 228 |
+
- fastmri_ssim
|
| 229 |
+
- fastmri_psnr
|
| 230 |
+
regularizers: []
|
| 231 |
+
crop: header
|
| 232 |
+
inference:
|
| 233 |
+
dataset:
|
| 234 |
+
name: CMRxRecon
|
| 235 |
+
transforms:
|
| 236 |
+
masking:
|
| 237 |
+
name: FastMRIEquispaced
|
| 238 |
+
accelerations:
|
| 239 |
+
- 6
|
| 240 |
+
center_fractions:
|
| 241 |
+
- 0.04
|
| 242 |
+
target_acceleration: 4.0327
|
| 243 |
+
dynamic_mask: true
|
| 244 |
+
use_seed: true
|
| 245 |
+
delete_kspace: false
|
| 246 |
+
delete_acs_mask: false
|
| 247 |
+
use_acs_as_mask: false
|
| 248 |
+
padding_eps: 0.0
|
| 249 |
+
augmentation:
|
| 250 |
+
pad:
|
| 251 |
+
- 512
|
| 252 |
+
- 246
|
| 253 |
+
sensitivity_map_estimation:
|
| 254 |
+
estimate_sensitivity_maps: true
|
| 255 |
+
normalization:
|
| 256 |
+
scaling_key: acs_kspace
|
| 257 |
+
scale_percentile: 0.995
|
| 258 |
+
batch_size: 1
|
| 259 |
+
crop: header
|
| 260 |
+
metrics:
|
| 261 |
+
- fastmri_ssim
|
| 262 |
+
- fastmri_psnr
|
| 263 |
+
- fastmri_nmse
|
| 264 |
+
logging:
|
| 265 |
+
log_as_image: null
|
| 266 |
+
tensorboard:
|
| 267 |
+
num_images: 4
|
medl_ads_1d_init2.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e0644d27f93f4b41192965949eb28567cf0130163a5dded0c9336f0496b7b67d
|
| 3 |
+
size 1815559051
|
medl_ads_1d_init2.yaml
ADDED
|
@@ -0,0 +1,291 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model:
|
| 2 |
+
model_name: medl.medl.MEDL3D
|
| 3 |
+
engine_name: null
|
| 4 |
+
iterations: 3
|
| 5 |
+
num_layers: 3
|
| 6 |
+
unet_num_filters: 18
|
| 7 |
+
unet_num_pool_layers: 4
|
| 8 |
+
unet_dropout: 0.0
|
| 9 |
+
unet_norm: false
|
| 10 |
+
additional_models:
|
| 11 |
+
sampling_model:
|
| 12 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 13 |
+
engine_name: null
|
| 14 |
+
sampling_dimension: ONE_D
|
| 15 |
+
st_slope: 10.0
|
| 16 |
+
st_clamp: false
|
| 17 |
+
use_softplus: true
|
| 18 |
+
slope: 10.0
|
| 19 |
+
fix_sign_leakage: true
|
| 20 |
+
acceleration: null
|
| 21 |
+
kspace_shape:
|
| 22 |
+
- 12
|
| 23 |
+
- 512
|
| 24 |
+
- 246
|
| 25 |
+
num_layers: 2
|
| 26 |
+
kspace_sampler: false
|
| 27 |
+
sampler_detach_mask: false
|
| 28 |
+
sampler_chans: 16
|
| 29 |
+
sampler_num_pool_layers: 3
|
| 30 |
+
sampler_fc_size: 128
|
| 31 |
+
sampler_drop_prob: 0.0
|
| 32 |
+
sampler_num_fc_layers: 3
|
| 33 |
+
sampler_activation: LEAKY_RELU
|
| 34 |
+
sampling_type: STATIC
|
| 35 |
+
num_time_steps: null
|
| 36 |
+
num_slices: null
|
| 37 |
+
sensitivity_model:
|
| 38 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 39 |
+
engine_name: null
|
| 40 |
+
in_channels: 2
|
| 41 |
+
out_channels: 2
|
| 42 |
+
num_filters: 16
|
| 43 |
+
num_pool_layers: 4
|
| 44 |
+
dropout_probability: 0.0
|
| 45 |
+
physics:
|
| 46 |
+
forward_operator: fft2
|
| 47 |
+
backward_operator: ifft2
|
| 48 |
+
use_noise_matrix: false
|
| 49 |
+
noise_matrix_scaling: 1.0
|
| 50 |
+
training:
|
| 51 |
+
datasets:
|
| 52 |
+
- name: CMRxRecon
|
| 53 |
+
kspace_context: time
|
| 54 |
+
text_description: train-4x
|
| 55 |
+
transforms:
|
| 56 |
+
padding_eps: 0.0
|
| 57 |
+
masking:
|
| 58 |
+
name: FastMRIEquispaced
|
| 59 |
+
accelerations:
|
| 60 |
+
- 6
|
| 61 |
+
center_fractions:
|
| 62 |
+
- 0.04
|
| 63 |
+
use_seed: false
|
| 64 |
+
delete_kspace: false
|
| 65 |
+
delete_acs_mask: false
|
| 66 |
+
use_acs_as_mask: false
|
| 67 |
+
target_acceleration: 4.0327
|
| 68 |
+
augmentation:
|
| 69 |
+
pad:
|
| 70 |
+
- 512
|
| 71 |
+
- 246
|
| 72 |
+
sensitivity_map_estimation:
|
| 73 |
+
estimate_sensitivity_maps: true
|
| 74 |
+
normalization:
|
| 75 |
+
scaling_key: acs_kspace
|
| 76 |
+
scale_percentile: 0.995
|
| 77 |
+
random_augmentations:
|
| 78 |
+
random_rotation_probability: 0.0
|
| 79 |
+
random_flip_probability: 0.5
|
| 80 |
+
- name: CMRxRecon
|
| 81 |
+
kspace_context: time
|
| 82 |
+
text_description: train-8x
|
| 83 |
+
transforms:
|
| 84 |
+
padding_eps: 0.0
|
| 85 |
+
masking:
|
| 86 |
+
name: FastMRIEquispaced
|
| 87 |
+
accelerations:
|
| 88 |
+
- 8.2
|
| 89 |
+
center_fractions:
|
| 90 |
+
- 0.04
|
| 91 |
+
use_seed: false
|
| 92 |
+
delete_kspace: false
|
| 93 |
+
delete_acs_mask: false
|
| 94 |
+
use_acs_as_mask: false
|
| 95 |
+
target_acceleration: 6
|
| 96 |
+
augmentation:
|
| 97 |
+
pad:
|
| 98 |
+
- 512
|
| 99 |
+
- 246
|
| 100 |
+
sensitivity_map_estimation:
|
| 101 |
+
estimate_sensitivity_maps: true
|
| 102 |
+
normalization:
|
| 103 |
+
scaling_key: acs_kspace
|
| 104 |
+
scale_percentile: 0.995
|
| 105 |
+
random_augmentations:
|
| 106 |
+
random_rotation_probability: 0.0
|
| 107 |
+
random_flip_probability: 0.5
|
| 108 |
+
- name: CMRxRecon
|
| 109 |
+
kspace_context: time
|
| 110 |
+
text_description: train-8x
|
| 111 |
+
transforms:
|
| 112 |
+
padding_eps: 0.0
|
| 113 |
+
masking:
|
| 114 |
+
name: FastMRIEquispaced
|
| 115 |
+
accelerations:
|
| 116 |
+
- 10.25
|
| 117 |
+
center_fractions:
|
| 118 |
+
- 0.04
|
| 119 |
+
use_seed: false
|
| 120 |
+
delete_kspace: false
|
| 121 |
+
delete_acs_mask: false
|
| 122 |
+
use_acs_as_mask: false
|
| 123 |
+
target_acceleration: 8.2
|
| 124 |
+
augmentation:
|
| 125 |
+
pad:
|
| 126 |
+
- 512
|
| 127 |
+
- 246
|
| 128 |
+
sensitivity_map_estimation:
|
| 129 |
+
estimate_sensitivity_maps: true
|
| 130 |
+
normalization:
|
| 131 |
+
scaling_key: acs_kspace
|
| 132 |
+
scale_percentile: 0.995
|
| 133 |
+
random_augmentations:
|
| 134 |
+
random_rotation_probability: 0.0
|
| 135 |
+
random_flip_probability: 0.5
|
| 136 |
+
model_checkpoint: null
|
| 137 |
+
optimizer: Adam
|
| 138 |
+
lr: 0.003
|
| 139 |
+
weight_decay: 0.0
|
| 140 |
+
batch_size: 1
|
| 141 |
+
lr_step_size: 10000
|
| 142 |
+
lr_gamma: 0.8
|
| 143 |
+
lr_warmup_iter: 2000
|
| 144 |
+
swa_start_iter: null
|
| 145 |
+
num_iterations: 60001
|
| 146 |
+
validation_steps: 4000
|
| 147 |
+
gradient_steps: 1
|
| 148 |
+
gradient_clipping: 0.0
|
| 149 |
+
gradient_debug: false
|
| 150 |
+
loss:
|
| 151 |
+
crop: null
|
| 152 |
+
losses:
|
| 153 |
+
- function: l2_loss
|
| 154 |
+
multiplier: 1
|
| 155 |
+
checkpointer:
|
| 156 |
+
checkpoint_steps: 2000
|
| 157 |
+
metrics: []
|
| 158 |
+
regularizers: []
|
| 159 |
+
validation:
|
| 160 |
+
datasets:
|
| 161 |
+
- name: CMRxRecon
|
| 162 |
+
kspace_context: time
|
| 163 |
+
text_description: val-4x
|
| 164 |
+
transforms:
|
| 165 |
+
padding_eps: 0.0
|
| 166 |
+
masking:
|
| 167 |
+
name: FastMRIEquispaced
|
| 168 |
+
accelerations:
|
| 169 |
+
- 6
|
| 170 |
+
center_fractions:
|
| 171 |
+
- 0.04
|
| 172 |
+
use_seed: true
|
| 173 |
+
delete_kspace: false
|
| 174 |
+
delete_acs_mask: false
|
| 175 |
+
use_acs_as_mask: false
|
| 176 |
+
target_acceleration: 4
|
| 177 |
+
augmentation:
|
| 178 |
+
pad:
|
| 179 |
+
- 512
|
| 180 |
+
- 246
|
| 181 |
+
sensitivity_map_estimation:
|
| 182 |
+
estimate_sensitivity_maps: true
|
| 183 |
+
normalization:
|
| 184 |
+
scaling_key: acs_kspace
|
| 185 |
+
scale_percentile: 0.995
|
| 186 |
+
random_augmentations:
|
| 187 |
+
random_rotation_probability: 0.0
|
| 188 |
+
random_flip_probability: 0.0
|
| 189 |
+
- name: CMRxRecon
|
| 190 |
+
kspace_context: time
|
| 191 |
+
text_description: val-6x
|
| 192 |
+
transforms:
|
| 193 |
+
padding_eps: 0.0
|
| 194 |
+
masking:
|
| 195 |
+
name: FastMRIEquispaced
|
| 196 |
+
accelerations:
|
| 197 |
+
- 8.2
|
| 198 |
+
center_fractions:
|
| 199 |
+
- 0.04
|
| 200 |
+
use_seed: true
|
| 201 |
+
delete_kspace: false
|
| 202 |
+
delete_acs_mask: false
|
| 203 |
+
use_acs_as_mask: false
|
| 204 |
+
target_acceleration: 6
|
| 205 |
+
augmentation:
|
| 206 |
+
pad:
|
| 207 |
+
- 512
|
| 208 |
+
- 246
|
| 209 |
+
sensitivity_map_estimation:
|
| 210 |
+
estimate_sensitivity_maps: true
|
| 211 |
+
normalization:
|
| 212 |
+
scaling_key: acs_kspace
|
| 213 |
+
scale_percentile: 0.995
|
| 214 |
+
random_augmentations:
|
| 215 |
+
random_rotation_probability: 0.0
|
| 216 |
+
random_flip_probability: 0.0
|
| 217 |
+
- name: CMRxRecon
|
| 218 |
+
kspace_context: time
|
| 219 |
+
text_description: val-8x
|
| 220 |
+
transforms:
|
| 221 |
+
padding_eps: 0.0
|
| 222 |
+
masking:
|
| 223 |
+
name: FastMRIEquispaced
|
| 224 |
+
accelerations:
|
| 225 |
+
- 10.25
|
| 226 |
+
center_fractions:
|
| 227 |
+
- 0.04
|
| 228 |
+
use_seed: true
|
| 229 |
+
delete_kspace: false
|
| 230 |
+
delete_acs_mask: false
|
| 231 |
+
use_acs_as_mask: false
|
| 232 |
+
target_acceleration: 8.2
|
| 233 |
+
augmentation:
|
| 234 |
+
pad:
|
| 235 |
+
- 512
|
| 236 |
+
- 246
|
| 237 |
+
sensitivity_map_estimation:
|
| 238 |
+
estimate_sensitivity_maps: true
|
| 239 |
+
normalization:
|
| 240 |
+
scaling_key: acs_kspace
|
| 241 |
+
scale_percentile: 0.995
|
| 242 |
+
random_augmentations:
|
| 243 |
+
random_rotation_probability: 0.0
|
| 244 |
+
random_flip_probability: 0.0
|
| 245 |
+
batch_size: 1
|
| 246 |
+
metrics:
|
| 247 |
+
- fastmri_ssim
|
| 248 |
+
- fastmri_psnr
|
| 249 |
+
regularizers: []
|
| 250 |
+
crop: header
|
| 251 |
+
inference:
|
| 252 |
+
dataset:
|
| 253 |
+
name: CMRxRecon
|
| 254 |
+
transforms:
|
| 255 |
+
padding_eps: 0.0
|
| 256 |
+
masking:
|
| 257 |
+
name: FastMRIEquispaced
|
| 258 |
+
accelerations:
|
| 259 |
+
- 6
|
| 260 |
+
center_fractions:
|
| 261 |
+
- 0.04
|
| 262 |
+
use_seed: true
|
| 263 |
+
delete_kspace: false
|
| 264 |
+
delete_acs_mask: false
|
| 265 |
+
use_acs_as_mask: false
|
| 266 |
+
target_acceleration: 4.0327
|
| 267 |
+
augmentation:
|
| 268 |
+
pad:
|
| 269 |
+
- 512
|
| 270 |
+
- 246
|
| 271 |
+
sensitivity_map_estimation:
|
| 272 |
+
estimate_sensitivity_maps: true
|
| 273 |
+
normalization:
|
| 274 |
+
scaling_key: acs_kspace
|
| 275 |
+
scale_percentile: 0.995
|
| 276 |
+
random_augmentations:
|
| 277 |
+
random_rotation_probability: 0.0
|
| 278 |
+
random_flip_probability: 0.0
|
| 279 |
+
text_description: inference
|
| 280 |
+
kspace_context: time
|
| 281 |
+
kspace_key: kspace_full
|
| 282 |
+
batch_size: 1
|
| 283 |
+
crop: header
|
| 284 |
+
metrics:
|
| 285 |
+
- fastmri_ssim
|
| 286 |
+
- fastmri_psnr
|
| 287 |
+
- fastmri_nmse
|
| 288 |
+
logging:
|
| 289 |
+
log_as_image: null
|
| 290 |
+
tensorboard:
|
| 291 |
+
num_images: 4
|
medl_ads_2d.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:916722ff7f855fa5c7aafcc0169f0abd7d275f28e185b21525d2c2168ff98179
|
| 3 |
+
size 2204745035
|
medl_ads_2d.yaml
ADDED
|
@@ -0,0 +1,211 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model:
|
| 2 |
+
model_name: medl.medl.MEDL3D
|
| 3 |
+
engine_name: null
|
| 4 |
+
iterations: 3
|
| 5 |
+
num_layers: 3
|
| 6 |
+
unet_num_filters: 18
|
| 7 |
+
unet_num_pool_layers: 4
|
| 8 |
+
unet_dropout: 0.0
|
| 9 |
+
unet_norm: false
|
| 10 |
+
additional_models:
|
| 11 |
+
sampling_model:
|
| 12 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 13 |
+
sampling_dimension: TWO_D
|
| 14 |
+
st_slope: 10.0
|
| 15 |
+
st_clamp: false
|
| 16 |
+
use_softplus: true
|
| 17 |
+
slope: 10.0
|
| 18 |
+
fix_sign_leakage: true
|
| 19 |
+
acceleration: null
|
| 20 |
+
kspace_shape:
|
| 21 |
+
- 12
|
| 22 |
+
- 512
|
| 23 |
+
- 246
|
| 24 |
+
num_layers: 2
|
| 25 |
+
kspace_sampler: false
|
| 26 |
+
sampler_detach_mask: false
|
| 27 |
+
sampler_chans: 16
|
| 28 |
+
sampler_num_pool_layers: 3
|
| 29 |
+
sampler_fc_size: 128
|
| 30 |
+
sampler_drop_prob: 0.0
|
| 31 |
+
sampler_num_fc_layers: 3
|
| 32 |
+
sampler_activation: LEAKY_RELU
|
| 33 |
+
sampling_type: STATIC
|
| 34 |
+
num_time_steps: null
|
| 35 |
+
num_slices: null
|
| 36 |
+
engine_name: null
|
| 37 |
+
sensitivity_model:
|
| 38 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 39 |
+
engine_name: null
|
| 40 |
+
in_channels: 2
|
| 41 |
+
out_channels: 2
|
| 42 |
+
num_filters: 16
|
| 43 |
+
num_pool_layers: 4
|
| 44 |
+
dropout_probability: 0.0
|
| 45 |
+
physics:
|
| 46 |
+
forward_operator: fft2
|
| 47 |
+
backward_operator: ifft2
|
| 48 |
+
use_noise_matrix: false
|
| 49 |
+
noise_matrix_scaling: 1.0
|
| 50 |
+
training:
|
| 51 |
+
datasets:
|
| 52 |
+
- name: CMRxRecon
|
| 53 |
+
kspace_context: time
|
| 54 |
+
text_description: train
|
| 55 |
+
transforms:
|
| 56 |
+
masking:
|
| 57 |
+
name: Gaussian2D
|
| 58 |
+
accelerations:
|
| 59 |
+
- 4.0327
|
| 60 |
+
- 6
|
| 61 |
+
- 8.2
|
| 62 |
+
center_fractions:
|
| 63 |
+
- 0.04
|
| 64 |
+
- 0.04
|
| 65 |
+
- 0.04
|
| 66 |
+
use_seed: false
|
| 67 |
+
delete_kspace: false
|
| 68 |
+
delete_acs_mask: false
|
| 69 |
+
use_acs_as_mask: true
|
| 70 |
+
augmentation:
|
| 71 |
+
pad:
|
| 72 |
+
- 512
|
| 73 |
+
- 246
|
| 74 |
+
sensitivity_map_estimation:
|
| 75 |
+
estimate_sensitivity_maps: true
|
| 76 |
+
normalization:
|
| 77 |
+
scaling_key: acs_kspace
|
| 78 |
+
scale_percentile: 0.995
|
| 79 |
+
model_checkpoint: null
|
| 80 |
+
optimizer: Adam
|
| 81 |
+
lr: 0.003
|
| 82 |
+
weight_decay: 0.0
|
| 83 |
+
batch_size: 1
|
| 84 |
+
lr_step_size: 10000
|
| 85 |
+
lr_gamma: 0.8
|
| 86 |
+
lr_warmup_iter: 2000
|
| 87 |
+
swa_start_iter: null
|
| 88 |
+
num_iterations: 60001
|
| 89 |
+
validation_steps: 4000
|
| 90 |
+
gradient_steps: 1
|
| 91 |
+
gradient_clipping: 0.0
|
| 92 |
+
gradient_debug: false
|
| 93 |
+
loss:
|
| 94 |
+
crop: null
|
| 95 |
+
losses:
|
| 96 |
+
- function: l2_loss
|
| 97 |
+
multiplier: 1
|
| 98 |
+
checkpointer:
|
| 99 |
+
checkpoint_steps: 2000
|
| 100 |
+
metrics: []
|
| 101 |
+
regularizers: []
|
| 102 |
+
validation:
|
| 103 |
+
datasets:
|
| 104 |
+
- name: CMRxRecon
|
| 105 |
+
kspace_context: time
|
| 106 |
+
text_description: val-4x
|
| 107 |
+
transforms:
|
| 108 |
+
masking:
|
| 109 |
+
name: Gaussian2D
|
| 110 |
+
accelerations:
|
| 111 |
+
- 4.0327
|
| 112 |
+
center_fractions:
|
| 113 |
+
- 0.04
|
| 114 |
+
use_seed: true
|
| 115 |
+
delete_kspace: false
|
| 116 |
+
delete_acs_mask: false
|
| 117 |
+
use_acs_as_mask: true
|
| 118 |
+
augmentation:
|
| 119 |
+
pad:
|
| 120 |
+
- 512
|
| 121 |
+
- 246
|
| 122 |
+
sensitivity_map_estimation:
|
| 123 |
+
estimate_sensitivity_maps: true
|
| 124 |
+
normalization:
|
| 125 |
+
scaling_key: acs_kspace
|
| 126 |
+
scale_percentile: 0.995
|
| 127 |
+
- name: CMRxRecon
|
| 128 |
+
kspace_context: time
|
| 129 |
+
text_description: val-6x
|
| 130 |
+
transforms:
|
| 131 |
+
masking:
|
| 132 |
+
name: Gaussian2D
|
| 133 |
+
accelerations:
|
| 134 |
+
- 6
|
| 135 |
+
center_fractions:
|
| 136 |
+
- 0.04
|
| 137 |
+
use_seed: true
|
| 138 |
+
delete_kspace: false
|
| 139 |
+
delete_acs_mask: false
|
| 140 |
+
use_acs_as_mask: true
|
| 141 |
+
augmentation:
|
| 142 |
+
pad:
|
| 143 |
+
- 512
|
| 144 |
+
- 246
|
| 145 |
+
sensitivity_map_estimation:
|
| 146 |
+
estimate_sensitivity_maps: true
|
| 147 |
+
normalization:
|
| 148 |
+
scaling_key: acs_kspace
|
| 149 |
+
scale_percentile: 0.995
|
| 150 |
+
- name: CMRxRecon
|
| 151 |
+
kspace_context: time
|
| 152 |
+
text_description: val-8x
|
| 153 |
+
transforms:
|
| 154 |
+
masking:
|
| 155 |
+
name: Gaussian2D
|
| 156 |
+
accelerations:
|
| 157 |
+
- 8.2
|
| 158 |
+
center_fractions:
|
| 159 |
+
- 0.04
|
| 160 |
+
use_seed: true
|
| 161 |
+
delete_kspace: false
|
| 162 |
+
delete_acs_mask: false
|
| 163 |
+
use_acs_as_mask: true
|
| 164 |
+
augmentation:
|
| 165 |
+
pad:
|
| 166 |
+
- 512
|
| 167 |
+
- 246
|
| 168 |
+
sensitivity_map_estimation:
|
| 169 |
+
estimate_sensitivity_maps: true
|
| 170 |
+
normalization:
|
| 171 |
+
scaling_key: acs_kspace
|
| 172 |
+
scale_percentile: 0.995
|
| 173 |
+
batch_size: 1
|
| 174 |
+
metrics:
|
| 175 |
+
- fastmri_ssim
|
| 176 |
+
- fastmri_psnr
|
| 177 |
+
regularizers: []
|
| 178 |
+
crop: header
|
| 179 |
+
inference:
|
| 180 |
+
dataset:
|
| 181 |
+
name: CMRxRecon
|
| 182 |
+
transforms:
|
| 183 |
+
masking:
|
| 184 |
+
name: Gaussian2D
|
| 185 |
+
accelerations:
|
| 186 |
+
- 4.0327
|
| 187 |
+
center_fractions:
|
| 188 |
+
- 0.04
|
| 189 |
+
use_seed: true
|
| 190 |
+
delete_kspace: false
|
| 191 |
+
delete_acs_mask: false
|
| 192 |
+
use_acs_as_mask: true
|
| 193 |
+
augmentation:
|
| 194 |
+
pad:
|
| 195 |
+
- 512
|
| 196 |
+
- 246
|
| 197 |
+
sensitivity_map_estimation:
|
| 198 |
+
estimate_sensitivity_maps: true
|
| 199 |
+
normalization:
|
| 200 |
+
scaling_key: acs_kspace
|
| 201 |
+
scale_percentile: 0.995
|
| 202 |
+
batch_size: 1
|
| 203 |
+
crop: header
|
| 204 |
+
metrics:
|
| 205 |
+
- fastmri_ssim
|
| 206 |
+
- fastmri_psnr
|
| 207 |
+
- fastmri_nmse
|
| 208 |
+
logging:
|
| 209 |
+
log_as_image: null
|
| 210 |
+
tensorboard:
|
| 211 |
+
num_images: 4
|
medl_ads_2d_frame.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:40a4ddbae9427303f99432265e9b04a69ebc5117dbd0fe88816bc3b18cf46276
|
| 3 |
+
size 6494167903
|
medl_ads_2d_frame.yaml
ADDED
|
@@ -0,0 +1,252 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
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|
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|
|
|
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|
|
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|
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|
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|
|
|
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|
|
|
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|
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|
|
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|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model:
|
| 2 |
+
model_name: medl.medl.MEDL3D
|
| 3 |
+
engine_name: null
|
| 4 |
+
iterations: 3
|
| 5 |
+
num_layers: 3
|
| 6 |
+
unet_num_filters: 18
|
| 7 |
+
unet_num_pool_layers: 4
|
| 8 |
+
unet_dropout: 0.0
|
| 9 |
+
unet_norm: false
|
| 10 |
+
additional_models:
|
| 11 |
+
sampling_model:
|
| 12 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 13 |
+
sampling_dimension: TWO_D
|
| 14 |
+
st_slope: 10.0
|
| 15 |
+
st_clamp: false
|
| 16 |
+
use_softplus: true
|
| 17 |
+
slope: 10.0
|
| 18 |
+
fix_sign_leakage: true
|
| 19 |
+
acceleration: null
|
| 20 |
+
kspace_shape:
|
| 21 |
+
- 512
|
| 22 |
+
- 246
|
| 23 |
+
num_layers: 2
|
| 24 |
+
kspace_sampler: false
|
| 25 |
+
sampler_detach_mask: false
|
| 26 |
+
sampler_chans: 16
|
| 27 |
+
sampler_num_pool_layers: 3
|
| 28 |
+
sampler_fc_size: 128
|
| 29 |
+
sampler_drop_prob: 0.0
|
| 30 |
+
sampler_num_fc_layers: 3
|
| 31 |
+
sampler_activation: LEAKY_RELU
|
| 32 |
+
sampling_type: DYNAMIC_2D
|
| 33 |
+
num_time_steps: 12
|
| 34 |
+
num_slices: null
|
| 35 |
+
engine_name: null
|
| 36 |
+
sensitivity_model:
|
| 37 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 38 |
+
engine_name: null
|
| 39 |
+
in_channels: 2
|
| 40 |
+
out_channels: 2
|
| 41 |
+
num_filters: 16
|
| 42 |
+
num_pool_layers: 4
|
| 43 |
+
dropout_probability: 0.0
|
| 44 |
+
physics:
|
| 45 |
+
forward_operator: fft2
|
| 46 |
+
backward_operator: ifft2
|
| 47 |
+
use_noise_matrix: false
|
| 48 |
+
noise_matrix_scaling: 1.0
|
| 49 |
+
training:
|
| 50 |
+
datasets:
|
| 51 |
+
- name: CMRxRecon
|
| 52 |
+
kspace_context: time
|
| 53 |
+
text_description: train-4x
|
| 54 |
+
transforms:
|
| 55 |
+
masking:
|
| 56 |
+
name: Gaussian2D
|
| 57 |
+
accelerations:
|
| 58 |
+
- 4.0327
|
| 59 |
+
center_fractions:
|
| 60 |
+
- 0.04
|
| 61 |
+
use_seed: false
|
| 62 |
+
delete_kspace: false
|
| 63 |
+
delete_acs_mask: false
|
| 64 |
+
use_acs_as_mask: true
|
| 65 |
+
augmentation:
|
| 66 |
+
pad:
|
| 67 |
+
- 512
|
| 68 |
+
- 246
|
| 69 |
+
sensitivity_map_estimation:
|
| 70 |
+
estimate_sensitivity_maps: true
|
| 71 |
+
normalization:
|
| 72 |
+
scaling_key: acs_kspace
|
| 73 |
+
scale_percentile: 0.995
|
| 74 |
+
- name: CMRxRecon
|
| 75 |
+
kspace_context: time
|
| 76 |
+
text_description: train-6x
|
| 77 |
+
transforms:
|
| 78 |
+
masking:
|
| 79 |
+
name: Gaussian2D
|
| 80 |
+
accelerations:
|
| 81 |
+
- 6
|
| 82 |
+
center_fractions:
|
| 83 |
+
- 0.04
|
| 84 |
+
use_seed: false
|
| 85 |
+
delete_kspace: false
|
| 86 |
+
delete_acs_mask: false
|
| 87 |
+
use_acs_as_mask: true
|
| 88 |
+
augmentation:
|
| 89 |
+
pad:
|
| 90 |
+
- 512
|
| 91 |
+
- 246
|
| 92 |
+
sensitivity_map_estimation:
|
| 93 |
+
estimate_sensitivity_maps: true
|
| 94 |
+
normalization:
|
| 95 |
+
scaling_key: acs_kspace
|
| 96 |
+
scale_percentile: 0.995
|
| 97 |
+
- name: CMRxRecon
|
| 98 |
+
kspace_context: time
|
| 99 |
+
text_description: train-8x
|
| 100 |
+
transforms:
|
| 101 |
+
masking:
|
| 102 |
+
name: Gaussian2D
|
| 103 |
+
accelerations:
|
| 104 |
+
- 8.2
|
| 105 |
+
center_fractions:
|
| 106 |
+
- 0.04
|
| 107 |
+
use_seed: false
|
| 108 |
+
delete_kspace: false
|
| 109 |
+
delete_acs_mask: false
|
| 110 |
+
use_acs_as_mask: true
|
| 111 |
+
augmentation:
|
| 112 |
+
pad:
|
| 113 |
+
- 512
|
| 114 |
+
- 246
|
| 115 |
+
sensitivity_map_estimation:
|
| 116 |
+
estimate_sensitivity_maps: true
|
| 117 |
+
normalization:
|
| 118 |
+
scaling_key: acs_kspace
|
| 119 |
+
scale_percentile: 0.995
|
| 120 |
+
model_checkpoint: null
|
| 121 |
+
optimizer: Adam
|
| 122 |
+
lr: 0.003
|
| 123 |
+
weight_decay: 0.0
|
| 124 |
+
batch_size: 1
|
| 125 |
+
lr_step_size: 10000
|
| 126 |
+
lr_gamma: 0.8
|
| 127 |
+
lr_warmup_iter: 2000
|
| 128 |
+
swa_start_iter: null
|
| 129 |
+
num_iterations: 60001
|
| 130 |
+
validation_steps: 4000
|
| 131 |
+
gradient_steps: 1
|
| 132 |
+
gradient_clipping: 0.0
|
| 133 |
+
gradient_debug: false
|
| 134 |
+
loss:
|
| 135 |
+
crop: null
|
| 136 |
+
losses:
|
| 137 |
+
- function: l2_loss
|
| 138 |
+
multiplier: 1
|
| 139 |
+
checkpointer:
|
| 140 |
+
checkpoint_steps: 2000
|
| 141 |
+
metrics: []
|
| 142 |
+
regularizers: []
|
| 143 |
+
validation:
|
| 144 |
+
datasets:
|
| 145 |
+
- name: CMRxRecon
|
| 146 |
+
kspace_context: time
|
| 147 |
+
text_description: val-4x
|
| 148 |
+
transforms:
|
| 149 |
+
masking:
|
| 150 |
+
name: Gaussian2D
|
| 151 |
+
accelerations:
|
| 152 |
+
- 4.0327
|
| 153 |
+
center_fractions:
|
| 154 |
+
- 0.04
|
| 155 |
+
use_seed: true
|
| 156 |
+
delete_kspace: false
|
| 157 |
+
delete_acs_mask: false
|
| 158 |
+
use_acs_as_mask: true
|
| 159 |
+
augmentation:
|
| 160 |
+
pad:
|
| 161 |
+
- 512
|
| 162 |
+
- 246
|
| 163 |
+
sensitivity_map_estimation:
|
| 164 |
+
estimate_sensitivity_maps: true
|
| 165 |
+
normalization:
|
| 166 |
+
scaling_key: acs_kspace
|
| 167 |
+
scale_percentile: 0.995
|
| 168 |
+
- name: CMRxRecon
|
| 169 |
+
kspace_context: time
|
| 170 |
+
text_description: val-6x
|
| 171 |
+
transforms:
|
| 172 |
+
masking:
|
| 173 |
+
name: Gaussian2D
|
| 174 |
+
accelerations:
|
| 175 |
+
- 6
|
| 176 |
+
center_fractions:
|
| 177 |
+
- 0.04
|
| 178 |
+
use_seed: true
|
| 179 |
+
delete_kspace: false
|
| 180 |
+
delete_acs_mask: false
|
| 181 |
+
use_acs_as_mask: true
|
| 182 |
+
augmentation:
|
| 183 |
+
pad:
|
| 184 |
+
- 512
|
| 185 |
+
- 246
|
| 186 |
+
sensitivity_map_estimation:
|
| 187 |
+
estimate_sensitivity_maps: true
|
| 188 |
+
normalization:
|
| 189 |
+
scaling_key: acs_kspace
|
| 190 |
+
scale_percentile: 0.995
|
| 191 |
+
- name: CMRxRecon
|
| 192 |
+
kspace_context: time
|
| 193 |
+
text_description: val-8x
|
| 194 |
+
transforms:
|
| 195 |
+
masking:
|
| 196 |
+
name: Gaussian2D
|
| 197 |
+
accelerations:
|
| 198 |
+
- 8.2
|
| 199 |
+
center_fractions:
|
| 200 |
+
- 0.04
|
| 201 |
+
use_seed: true
|
| 202 |
+
delete_kspace: false
|
| 203 |
+
delete_acs_mask: false
|
| 204 |
+
use_acs_as_mask: true
|
| 205 |
+
augmentation:
|
| 206 |
+
pad:
|
| 207 |
+
- 512
|
| 208 |
+
- 246
|
| 209 |
+
sensitivity_map_estimation:
|
| 210 |
+
estimate_sensitivity_maps: true
|
| 211 |
+
normalization:
|
| 212 |
+
scaling_key: acs_kspace
|
| 213 |
+
scale_percentile: 0.995
|
| 214 |
+
batch_size: 1
|
| 215 |
+
metrics:
|
| 216 |
+
- fastmri_ssim
|
| 217 |
+
- fastmri_psnr
|
| 218 |
+
regularizers: []
|
| 219 |
+
crop: header
|
| 220 |
+
inference:
|
| 221 |
+
dataset:
|
| 222 |
+
name: CMRxRecon
|
| 223 |
+
transforms:
|
| 224 |
+
masking:
|
| 225 |
+
name: Gaussian2D
|
| 226 |
+
accelerations:
|
| 227 |
+
- 4.0327
|
| 228 |
+
center_fractions:
|
| 229 |
+
- 0.04
|
| 230 |
+
use_seed: true
|
| 231 |
+
delete_kspace: false
|
| 232 |
+
delete_acs_mask: false
|
| 233 |
+
use_acs_as_mask: true
|
| 234 |
+
augmentation:
|
| 235 |
+
pad:
|
| 236 |
+
- 512
|
| 237 |
+
- 246
|
| 238 |
+
sensitivity_map_estimation:
|
| 239 |
+
estimate_sensitivity_maps: true
|
| 240 |
+
normalization:
|
| 241 |
+
scaling_key: acs_kspace
|
| 242 |
+
scale_percentile: 0.995
|
| 243 |
+
batch_size: 1
|
| 244 |
+
crop: null
|
| 245 |
+
metrics:
|
| 246 |
+
- fastmri_ssim
|
| 247 |
+
- fastmri_psnr
|
| 248 |
+
- fastmri_nmse
|
| 249 |
+
logging:
|
| 250 |
+
log_as_image: null
|
| 251 |
+
tensorboard:
|
| 252 |
+
num_images: 4
|
vsharp_ads_1d.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3256de521a7030f64f8b9a260db1abd2f80ffd683e1ee88f867f171539b7fa77
|
| 3 |
+
size 949430511
|
vsharp_ads_1d.yaml
ADDED
|
@@ -0,0 +1,263 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
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|
|
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|
|
|
|
|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model:
|
| 2 |
+
model_name: vsharp.vsharp.VSharpNet3D
|
| 3 |
+
engine_name:
|
| 4 |
+
num_steps: 8
|
| 5 |
+
num_steps_dc_gd: 8
|
| 6 |
+
image_init: SENSE
|
| 7 |
+
no_parameter_sharing: true
|
| 8 |
+
auxiliary_steps: -1
|
| 9 |
+
initializer_channels:
|
| 10 |
+
- 32
|
| 11 |
+
- 32
|
| 12 |
+
- 64
|
| 13 |
+
- 64
|
| 14 |
+
initializer_dilations:
|
| 15 |
+
- 1
|
| 16 |
+
- 1
|
| 17 |
+
- 2
|
| 18 |
+
- 4
|
| 19 |
+
initializer_multiscale: 1
|
| 20 |
+
initializer_activation: PRELU
|
| 21 |
+
unet_num_filters: 16
|
| 22 |
+
unet_num_pool_layers: 4
|
| 23 |
+
unet_dropout: 0.0
|
| 24 |
+
unet_norm: false
|
| 25 |
+
additional_models:
|
| 26 |
+
sampling_model:
|
| 27 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 28 |
+
engine_name:
|
| 29 |
+
sampling_dimension: ONE_D
|
| 30 |
+
st_slope: 10.0
|
| 31 |
+
st_clamp: false
|
| 32 |
+
use_softplus: true
|
| 33 |
+
slope: 10.0
|
| 34 |
+
fix_sign_leakage: true
|
| 35 |
+
acceleration:
|
| 36 |
+
kspace_shape:
|
| 37 |
+
- 12
|
| 38 |
+
- 512
|
| 39 |
+
- 246
|
| 40 |
+
num_layers: 1
|
| 41 |
+
kspace_sampler: false
|
| 42 |
+
sampler_detach_mask: false
|
| 43 |
+
sampler_chans: 16
|
| 44 |
+
sampler_num_pool_layers: 3
|
| 45 |
+
sampler_fc_size: 128
|
| 46 |
+
sampler_drop_prob: 0.0
|
| 47 |
+
sampler_num_fc_layers: 3
|
| 48 |
+
sampler_activation: LEAKY_RELU
|
| 49 |
+
sampling_type: STATIC
|
| 50 |
+
num_time_steps:
|
| 51 |
+
num_slices:
|
| 52 |
+
sensitivity_model:
|
| 53 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 54 |
+
engine_name:
|
| 55 |
+
in_channels: 2
|
| 56 |
+
out_channels: 2
|
| 57 |
+
num_filters: 16
|
| 58 |
+
num_pool_layers: 4
|
| 59 |
+
dropout_probability: 0.0
|
| 60 |
+
physics:
|
| 61 |
+
forward_operator: fft2
|
| 62 |
+
backward_operator: ifft2
|
| 63 |
+
use_noise_matrix: false
|
| 64 |
+
noise_matrix_scaling: 1.0
|
| 65 |
+
training:
|
| 66 |
+
datasets:
|
| 67 |
+
- name: CMRxRecon
|
| 68 |
+
kspace_context: time
|
| 69 |
+
text_description: train
|
| 70 |
+
transforms:
|
| 71 |
+
padding_eps: 0.0
|
| 72 |
+
masking:
|
| 73 |
+
name: FastMRIRandom
|
| 74 |
+
accelerations:
|
| 75 |
+
- 4.0327
|
| 76 |
+
- 6
|
| 77 |
+
- 8.2
|
| 78 |
+
center_fractions:
|
| 79 |
+
- 0.04
|
| 80 |
+
- 0.04
|
| 81 |
+
- 0.04
|
| 82 |
+
use_seed: false
|
| 83 |
+
delete_kspace: false
|
| 84 |
+
delete_acs_mask: false
|
| 85 |
+
use_acs_as_mask: true
|
| 86 |
+
augmentation:
|
| 87 |
+
pad:
|
| 88 |
+
- 512
|
| 89 |
+
- 246
|
| 90 |
+
sensitivity_map_estimation:
|
| 91 |
+
estimate_sensitivity_maps: true
|
| 92 |
+
normalization:
|
| 93 |
+
scaling_key: acs_kspace
|
| 94 |
+
scale_percentile: 0.995
|
| 95 |
+
random_augmentations:
|
| 96 |
+
random_rotation_probability: 0.0
|
| 97 |
+
random_flip_probability: 0.5
|
| 98 |
+
model_checkpoint:
|
| 99 |
+
optimizer: Adam
|
| 100 |
+
lr: 0.003
|
| 101 |
+
weight_decay: 0.0
|
| 102 |
+
batch_size: 1
|
| 103 |
+
lr_step_size: 10000
|
| 104 |
+
lr_gamma: 0.8
|
| 105 |
+
lr_warmup_iter: 2000
|
| 106 |
+
swa_start_iter:
|
| 107 |
+
num_iterations: 60001
|
| 108 |
+
validation_steps: 4000
|
| 109 |
+
gradient_steps: 1
|
| 110 |
+
gradient_clipping: 0.0
|
| 111 |
+
gradient_debug: false
|
| 112 |
+
loss:
|
| 113 |
+
crop:
|
| 114 |
+
losses:
|
| 115 |
+
- function: l1_loss
|
| 116 |
+
multiplier: 1
|
| 117 |
+
- function: ssim_loss
|
| 118 |
+
multiplier: 1
|
| 119 |
+
- function: ssim_3d_loss
|
| 120 |
+
multiplier: 1
|
| 121 |
+
- function: hfen_l1_norm_loss
|
| 122 |
+
multiplier: 1
|
| 123 |
+
- function: kspace_nmae_loss
|
| 124 |
+
multiplier: 3
|
| 125 |
+
checkpointer:
|
| 126 |
+
checkpoint_steps: 2000
|
| 127 |
+
metrics: []
|
| 128 |
+
regularizers: []
|
| 129 |
+
validation:
|
| 130 |
+
datasets:
|
| 131 |
+
- name: CMRxRecon
|
| 132 |
+
kspace_context: time
|
| 133 |
+
text_description: val-4x
|
| 134 |
+
transforms:
|
| 135 |
+
padding_eps: 0.0
|
| 136 |
+
masking:
|
| 137 |
+
name: FastMRIRandom
|
| 138 |
+
accelerations:
|
| 139 |
+
- 4.0327
|
| 140 |
+
center_fractions:
|
| 141 |
+
- 0.04
|
| 142 |
+
use_seed: true
|
| 143 |
+
delete_kspace: false
|
| 144 |
+
delete_acs_mask: false
|
| 145 |
+
use_acs_as_mask: true
|
| 146 |
+
augmentation:
|
| 147 |
+
pad:
|
| 148 |
+
- 512
|
| 149 |
+
- 246
|
| 150 |
+
sensitivity_map_estimation:
|
| 151 |
+
estimate_sensitivity_maps: true
|
| 152 |
+
normalization:
|
| 153 |
+
scaling_key: acs_kspace
|
| 154 |
+
scale_percentile: 0.995
|
| 155 |
+
random_augmentations:
|
| 156 |
+
random_rotation_probability: 0.0
|
| 157 |
+
random_flip_probability: 0.0
|
| 158 |
+
- name: CMRxRecon
|
| 159 |
+
kspace_context: time
|
| 160 |
+
text_description: val-6x
|
| 161 |
+
transforms:
|
| 162 |
+
padding_eps: 0.0
|
| 163 |
+
masking:
|
| 164 |
+
name: FastMRIRandom
|
| 165 |
+
accelerations:
|
| 166 |
+
- 6
|
| 167 |
+
center_fractions:
|
| 168 |
+
- 0.04
|
| 169 |
+
use_seed: true
|
| 170 |
+
delete_kspace: false
|
| 171 |
+
delete_acs_mask: false
|
| 172 |
+
use_acs_as_mask: true
|
| 173 |
+
augmentation:
|
| 174 |
+
pad:
|
| 175 |
+
- 512
|
| 176 |
+
- 246
|
| 177 |
+
sensitivity_map_estimation:
|
| 178 |
+
estimate_sensitivity_maps: true
|
| 179 |
+
normalization:
|
| 180 |
+
scaling_key: acs_kspace
|
| 181 |
+
scale_percentile: 0.995
|
| 182 |
+
random_augmentations:
|
| 183 |
+
random_rotation_probability: 0.0
|
| 184 |
+
random_flip_probability: 0.0
|
| 185 |
+
- name: CMRxRecon
|
| 186 |
+
kspace_context: time
|
| 187 |
+
text_description: val-8x
|
| 188 |
+
transforms:
|
| 189 |
+
padding_eps: 0.0
|
| 190 |
+
masking:
|
| 191 |
+
name: FastMRIRandom
|
| 192 |
+
accelerations:
|
| 193 |
+
- 8.2
|
| 194 |
+
center_fractions:
|
| 195 |
+
- 0.04
|
| 196 |
+
use_seed: true
|
| 197 |
+
delete_kspace: false
|
| 198 |
+
delete_acs_mask: false
|
| 199 |
+
use_acs_as_mask: true
|
| 200 |
+
augmentation:
|
| 201 |
+
pad:
|
| 202 |
+
- 512
|
| 203 |
+
- 246
|
| 204 |
+
sensitivity_map_estimation:
|
| 205 |
+
estimate_sensitivity_maps: true
|
| 206 |
+
normalization:
|
| 207 |
+
scaling_key: acs_kspace
|
| 208 |
+
scale_percentile: 0.995
|
| 209 |
+
random_augmentations:
|
| 210 |
+
random_rotation_probability: 0.0
|
| 211 |
+
random_flip_probability: 0.0
|
| 212 |
+
batch_size: 1
|
| 213 |
+
metrics:
|
| 214 |
+
- fastmri_ssim
|
| 215 |
+
- fastmri_psnr
|
| 216 |
+
regularizers: []
|
| 217 |
+
crop: header
|
| 218 |
+
inference:
|
| 219 |
+
dataset:
|
| 220 |
+
name: CMRxRecon
|
| 221 |
+
transforms:
|
| 222 |
+
padding_eps: 0.0
|
| 223 |
+
masking:
|
| 224 |
+
name: FastMRIRandom
|
| 225 |
+
accelerations:
|
| 226 |
+
- 4.0327
|
| 227 |
+
center_fractions:
|
| 228 |
+
- 0.04
|
| 229 |
+
use_seed: true
|
| 230 |
+
delete_kspace: false
|
| 231 |
+
delete_acs_mask: false
|
| 232 |
+
use_acs_as_mask: true
|
| 233 |
+
augmentation:
|
| 234 |
+
pad:
|
| 235 |
+
- 512
|
| 236 |
+
- 246
|
| 237 |
+
sensitivity_map_estimation:
|
| 238 |
+
estimate_sensitivity_maps: true
|
| 239 |
+
normalization:
|
| 240 |
+
scaling_key: acs_kspace
|
| 241 |
+
scale_percentile: 0.995
|
| 242 |
+
random_augmentations:
|
| 243 |
+
random_rotation_probability: 0.0
|
| 244 |
+
random_flip_probability: 0.0
|
| 245 |
+
text_description: inference
|
| 246 |
+
data_root:
|
| 247 |
+
filenames_filter:
|
| 248 |
+
filenames_lists:
|
| 249 |
+
filenames_lists_root:
|
| 250 |
+
kspace_key: kspace_full
|
| 251 |
+
compute_mask: false
|
| 252 |
+
extra_keys:
|
| 253 |
+
kspace_context: time
|
| 254 |
+
batch_size: 1
|
| 255 |
+
metrics:
|
| 256 |
+
- fastmri_ssim
|
| 257 |
+
- fastmri_psnr
|
| 258 |
+
- fastmri_nmse
|
| 259 |
+
crop: header
|
| 260 |
+
logging:
|
| 261 |
+
log_as_image:
|
| 262 |
+
tensorboard:
|
| 263 |
+
num_images: 4
|
vsharp_ads_1d_frame.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8fe1fa467c5c9fce16d7a730f9961beb718bb4378d277630444cf14dcd0c589f
|
| 3 |
+
size 953619439
|
vsharp_ads_1d_frame.yaml
ADDED
|
@@ -0,0 +1,375 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
|
|
|
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|
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|
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|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
|
|
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|
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|
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|
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|
|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model:
|
| 2 |
+
model_name: vsharp.vsharp.VSharpNet3D
|
| 3 |
+
engine_name:
|
| 4 |
+
num_steps: 8
|
| 5 |
+
num_steps_dc_gd: 8
|
| 6 |
+
image_init: SENSE
|
| 7 |
+
no_parameter_sharing: true
|
| 8 |
+
auxiliary_steps: -1
|
| 9 |
+
initializer_channels:
|
| 10 |
+
- 32
|
| 11 |
+
- 32
|
| 12 |
+
- 64
|
| 13 |
+
- 64
|
| 14 |
+
initializer_dilations:
|
| 15 |
+
- 1
|
| 16 |
+
- 1
|
| 17 |
+
- 2
|
| 18 |
+
- 4
|
| 19 |
+
initializer_multiscale: 1
|
| 20 |
+
initializer_activation: PRELU
|
| 21 |
+
unet_num_filters: 16
|
| 22 |
+
unet_num_pool_layers: 4
|
| 23 |
+
unet_dropout: 0.0
|
| 24 |
+
unet_norm: false
|
| 25 |
+
additional_models:
|
| 26 |
+
sampling_model:
|
| 27 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 28 |
+
engine_name:
|
| 29 |
+
sampling_dimension: ONE_D
|
| 30 |
+
st_slope: 10.0
|
| 31 |
+
st_clamp: false
|
| 32 |
+
use_softplus: true
|
| 33 |
+
slope: 10.0
|
| 34 |
+
fix_sign_leakage: true
|
| 35 |
+
acceleration:
|
| 36 |
+
kspace_shape:
|
| 37 |
+
- 512
|
| 38 |
+
- 246
|
| 39 |
+
num_layers: 1
|
| 40 |
+
kspace_sampler: false
|
| 41 |
+
sampler_detach_mask: false
|
| 42 |
+
sampler_chans: 16
|
| 43 |
+
sampler_num_pool_layers: 3
|
| 44 |
+
sampler_fc_size: 128
|
| 45 |
+
sampler_drop_prob: 0.0
|
| 46 |
+
sampler_num_fc_layers: 3
|
| 47 |
+
sampler_activation: LEAKY_RELU
|
| 48 |
+
sampling_type: DYNAMIC_2D
|
| 49 |
+
num_time_steps: 12
|
| 50 |
+
num_slices:
|
| 51 |
+
sensitivity_model:
|
| 52 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 53 |
+
engine_name:
|
| 54 |
+
in_channels: 2
|
| 55 |
+
out_channels: 2
|
| 56 |
+
num_filters: 16
|
| 57 |
+
num_pool_layers: 4
|
| 58 |
+
dropout_probability: 0.0
|
| 59 |
+
physics:
|
| 60 |
+
forward_operator: fft2
|
| 61 |
+
backward_operator: ifft2
|
| 62 |
+
use_noise_matrix: false
|
| 63 |
+
noise_matrix_scaling: 1.0
|
| 64 |
+
training:
|
| 65 |
+
datasets:
|
| 66 |
+
- name: CMRxRecon
|
| 67 |
+
kspace_context: time
|
| 68 |
+
text_description: train-4x
|
| 69 |
+
transforms:
|
| 70 |
+
padding_eps: 0.0
|
| 71 |
+
masking:
|
| 72 |
+
name: FastMRIRandom
|
| 73 |
+
mode: DYNAMIC
|
| 74 |
+
accelerations:
|
| 75 |
+
- 4.0327
|
| 76 |
+
center_fractions:
|
| 77 |
+
- 0.04
|
| 78 |
+
use_seed: false
|
| 79 |
+
delete_kspace: false
|
| 80 |
+
delete_acs_mask: false
|
| 81 |
+
use_acs_as_mask: true
|
| 82 |
+
augmentation:
|
| 83 |
+
pad:
|
| 84 |
+
- 512
|
| 85 |
+
- 246
|
| 86 |
+
sensitivity_map_estimation:
|
| 87 |
+
estimate_sensitivity_maps: true
|
| 88 |
+
normalization:
|
| 89 |
+
scaling_key: acs_kspace
|
| 90 |
+
scale_percentile: 0.995
|
| 91 |
+
random_augmentations:
|
| 92 |
+
random_rotation_probability: 0.0
|
| 93 |
+
random_flip_probability: 0.5
|
| 94 |
+
- name: CMRxRecon
|
| 95 |
+
kspace_context: time
|
| 96 |
+
text_description: train-6x
|
| 97 |
+
transforms:
|
| 98 |
+
padding_eps: 0.0
|
| 99 |
+
masking:
|
| 100 |
+
name: FastMRIRandom
|
| 101 |
+
mode: DYNAMIC
|
| 102 |
+
accelerations:
|
| 103 |
+
- 6
|
| 104 |
+
center_fractions:
|
| 105 |
+
- 0.04
|
| 106 |
+
use_seed: false
|
| 107 |
+
delete_kspace: false
|
| 108 |
+
delete_acs_mask: false
|
| 109 |
+
use_acs_as_mask: true
|
| 110 |
+
augmentation:
|
| 111 |
+
pad:
|
| 112 |
+
- 512
|
| 113 |
+
- 246
|
| 114 |
+
sensitivity_map_estimation:
|
| 115 |
+
estimate_sensitivity_maps: true
|
| 116 |
+
normalization:
|
| 117 |
+
scaling_key: acs_kspace
|
| 118 |
+
scale_percentile: 0.995
|
| 119 |
+
random_augmentations:
|
| 120 |
+
random_rotation_probability: 0.0
|
| 121 |
+
random_flip_probability: 0.5
|
| 122 |
+
- name: CMRxRecon
|
| 123 |
+
kspace_context: time
|
| 124 |
+
text_description: train-8x
|
| 125 |
+
transforms:
|
| 126 |
+
padding_eps: 0.0
|
| 127 |
+
masking:
|
| 128 |
+
name: FastMRIRandom
|
| 129 |
+
mode: DYNAMIC
|
| 130 |
+
accelerations:
|
| 131 |
+
- 8.2
|
| 132 |
+
center_fractions:
|
| 133 |
+
- 0.04
|
| 134 |
+
use_seed: false
|
| 135 |
+
delete_kspace: false
|
| 136 |
+
delete_acs_mask: false
|
| 137 |
+
use_acs_as_mask: true
|
| 138 |
+
augmentation:
|
| 139 |
+
pad:
|
| 140 |
+
- 512
|
| 141 |
+
- 246
|
| 142 |
+
sensitivity_map_estimation:
|
| 143 |
+
estimate_sensitivity_maps: true
|
| 144 |
+
normalization:
|
| 145 |
+
scaling_key: acs_kspace
|
| 146 |
+
scale_percentile: 0.995
|
| 147 |
+
random_augmentations:
|
| 148 |
+
random_rotation_probability: 0.0
|
| 149 |
+
random_flip_probability: 0.5
|
| 150 |
+
model_checkpoint:
|
| 151 |
+
optimizer: Adam
|
| 152 |
+
lr: 0.003
|
| 153 |
+
weight_decay: 0.0
|
| 154 |
+
batch_size: 1
|
| 155 |
+
lr_step_size: 10000
|
| 156 |
+
lr_gamma: 0.8
|
| 157 |
+
lr_warmup_iter: 2000
|
| 158 |
+
swa_start_iter:
|
| 159 |
+
num_iterations: 60001
|
| 160 |
+
validation_steps: 10000
|
| 161 |
+
gradient_steps: 1
|
| 162 |
+
gradient_clipping: 0.0
|
| 163 |
+
gradient_debug: false
|
| 164 |
+
loss:
|
| 165 |
+
crop:
|
| 166 |
+
losses:
|
| 167 |
+
- function: l1_loss
|
| 168 |
+
multiplier: 1
|
| 169 |
+
- function: ssim_loss
|
| 170 |
+
multiplier: 1
|
| 171 |
+
- function: ssim_3d_loss
|
| 172 |
+
multiplier: 1
|
| 173 |
+
- function: hfen_l1_norm_loss
|
| 174 |
+
multiplier: 1
|
| 175 |
+
- function: kspace_nmae_loss
|
| 176 |
+
multiplier: 3
|
| 177 |
+
checkpointer:
|
| 178 |
+
checkpoint_steps: 2000
|
| 179 |
+
metrics: []
|
| 180 |
+
regularizers: []
|
| 181 |
+
validation:
|
| 182 |
+
datasets:
|
| 183 |
+
- name: CMRxRecon
|
| 184 |
+
kspace_context: time
|
| 185 |
+
text_description: val-4x
|
| 186 |
+
transforms:
|
| 187 |
+
padding_eps: 0.0
|
| 188 |
+
masking:
|
| 189 |
+
name: FastMRIRandom
|
| 190 |
+
mode: DYNAMIC
|
| 191 |
+
accelerations:
|
| 192 |
+
- 4.0327
|
| 193 |
+
center_fractions:
|
| 194 |
+
- 0.04
|
| 195 |
+
use_seed: true
|
| 196 |
+
delete_kspace: false
|
| 197 |
+
delete_acs_mask: false
|
| 198 |
+
use_acs_as_mask: true
|
| 199 |
+
augmentation:
|
| 200 |
+
pad:
|
| 201 |
+
- 512
|
| 202 |
+
- 246
|
| 203 |
+
sensitivity_map_estimation:
|
| 204 |
+
estimate_sensitivity_maps: true
|
| 205 |
+
normalization:
|
| 206 |
+
scaling_key: acs_kspace
|
| 207 |
+
scale_percentile: 0.995
|
| 208 |
+
random_augmentations:
|
| 209 |
+
random_rotation_probability: 0.0
|
| 210 |
+
random_flip_probability: 0.0
|
| 211 |
+
- name: CMRxRecon
|
| 212 |
+
kspace_context: time
|
| 213 |
+
text_description: val-6x
|
| 214 |
+
transforms:
|
| 215 |
+
padding_eps: 0.0
|
| 216 |
+
masking:
|
| 217 |
+
name: FastMRIRandom
|
| 218 |
+
mode: DYNAMIC
|
| 219 |
+
accelerations:
|
| 220 |
+
- 6
|
| 221 |
+
center_fractions:
|
| 222 |
+
- 0.04
|
| 223 |
+
use_seed: true
|
| 224 |
+
delete_kspace: false
|
| 225 |
+
delete_acs_mask: false
|
| 226 |
+
use_acs_as_mask: true
|
| 227 |
+
augmentation:
|
| 228 |
+
pad:
|
| 229 |
+
- 512
|
| 230 |
+
- 246
|
| 231 |
+
sensitivity_map_estimation:
|
| 232 |
+
estimate_sensitivity_maps: true
|
| 233 |
+
normalization:
|
| 234 |
+
scaling_key: acs_kspace
|
| 235 |
+
scale_percentile: 0.995
|
| 236 |
+
random_augmentations:
|
| 237 |
+
random_rotation_probability: 0.0
|
| 238 |
+
random_flip_probability: 0.0
|
| 239 |
+
- name: CMRxRecon
|
| 240 |
+
kspace_context: time
|
| 241 |
+
text_description: val-8x
|
| 242 |
+
transforms:
|
| 243 |
+
padding_eps: 0.0
|
| 244 |
+
masking:
|
| 245 |
+
name: FastMRIRandom
|
| 246 |
+
mode: DYNAMIC
|
| 247 |
+
accelerations:
|
| 248 |
+
- 8.2
|
| 249 |
+
center_fractions:
|
| 250 |
+
- 0.04
|
| 251 |
+
use_seed: true
|
| 252 |
+
delete_kspace: false
|
| 253 |
+
delete_acs_mask: false
|
| 254 |
+
use_acs_as_mask: true
|
| 255 |
+
augmentation:
|
| 256 |
+
pad:
|
| 257 |
+
- 512
|
| 258 |
+
- 246
|
| 259 |
+
sensitivity_map_estimation:
|
| 260 |
+
estimate_sensitivity_maps: true
|
| 261 |
+
normalization:
|
| 262 |
+
scaling_key: acs_kspace
|
| 263 |
+
scale_percentile: 0.995
|
| 264 |
+
random_augmentations:
|
| 265 |
+
random_rotation_probability: 0.0
|
| 266 |
+
random_flip_probability: 0.0
|
| 267 |
+
batch_size: 1
|
| 268 |
+
metrics:
|
| 269 |
+
- fastmri_ssim
|
| 270 |
+
- fastmri_psnr
|
| 271 |
+
regularizers: []
|
| 272 |
+
crop:
|
| 273 |
+
inference:
|
| 274 |
+
dataset:
|
| 275 |
+
name: CMRxRecon
|
| 276 |
+
transforms:
|
| 277 |
+
masking:
|
| 278 |
+
name: FastMRIRandom
|
| 279 |
+
accelerations:
|
| 280 |
+
- 8.2
|
| 281 |
+
center_fractions:
|
| 282 |
+
- 0.04
|
| 283 |
+
mode: DYNAMIC
|
| 284 |
+
val_accelerations:
|
| 285 |
+
- 5.0
|
| 286 |
+
- 10.0
|
| 287 |
+
val_center_fractions:
|
| 288 |
+
- 0.1
|
| 289 |
+
- 0.05
|
| 290 |
+
range_mode: DISCRETE
|
| 291 |
+
target_acceleration:
|
| 292 |
+
cropping:
|
| 293 |
+
crop:
|
| 294 |
+
crop_type: uniform
|
| 295 |
+
image_center_crop: false
|
| 296 |
+
augmentation:
|
| 297 |
+
rescale:
|
| 298 |
+
rescale_mode: NEAREST
|
| 299 |
+
rescale_2d_if_3d: false
|
| 300 |
+
pad:
|
| 301 |
+
- 512
|
| 302 |
+
- 246
|
| 303 |
+
random_augmentations:
|
| 304 |
+
random_rotation_degrees:
|
| 305 |
+
- -90
|
| 306 |
+
- 90
|
| 307 |
+
random_rotation_probability: 0.0
|
| 308 |
+
random_flip_type: RANDOM
|
| 309 |
+
random_flip_probability: 0.0
|
| 310 |
+
random_reverse_probability: 0.0
|
| 311 |
+
padding_eps: 0.0
|
| 312 |
+
estimate_body_coil_image: false
|
| 313 |
+
sensitivity_map_estimation:
|
| 314 |
+
estimate_sensitivity_maps: true
|
| 315 |
+
sensitivity_maps_type: RSS_ESTIMATE
|
| 316 |
+
sensitivity_maps_espirit_threshold: 0.05
|
| 317 |
+
sensitivity_maps_espirit_kernel_size: 6
|
| 318 |
+
sensitivity_maps_espirit_crop: 0.95
|
| 319 |
+
sensitivity_maps_espirit_max_iters: 30
|
| 320 |
+
sensitivity_maps_gaussian: 0.7
|
| 321 |
+
normalization:
|
| 322 |
+
scaling_key: acs_kspace
|
| 323 |
+
scale_percentile: 0.995
|
| 324 |
+
use_acs_as_mask: true
|
| 325 |
+
delete_acs_mask: false
|
| 326 |
+
delete_kspace: false
|
| 327 |
+
image_recon_type: RSS
|
| 328 |
+
compress_coils:
|
| 329 |
+
pad_coils:
|
| 330 |
+
registration:
|
| 331 |
+
registration: false
|
| 332 |
+
registration_simulate_reference:
|
| 333 |
+
registration_simulate_elastic_sigma: 3.0
|
| 334 |
+
registration_simulate_elastic_points: 3
|
| 335 |
+
registration_simulate_elastic_rotate: 0.0
|
| 336 |
+
registration_simulate_elastic_zoom: 0.0
|
| 337 |
+
registration_estimate_displacement: true
|
| 338 |
+
registration_simulate_reference_from_key_index: 0
|
| 339 |
+
registration_moving_key: TARGET
|
| 340 |
+
demons_filter_type: SYMMETRIC_FORCES
|
| 341 |
+
demons_num_iterations: 100
|
| 342 |
+
demons_smooth_displacement_field: true
|
| 343 |
+
demons_standard_deviations: 1.5
|
| 344 |
+
demons_intensity_difference_threshold:
|
| 345 |
+
demons_maximum_rms_error:
|
| 346 |
+
use_seed: true
|
| 347 |
+
transforms_type: SUPERVISED
|
| 348 |
+
mask_split_ratio:
|
| 349 |
+
- 0.4
|
| 350 |
+
mask_split_acs_region:
|
| 351 |
+
- 0
|
| 352 |
+
- 0
|
| 353 |
+
mask_split_keep_acs: false
|
| 354 |
+
mask_split_type: GAUSSIAN
|
| 355 |
+
mask_split_gaussian_std: 3.0
|
| 356 |
+
mask_split_half_direction: VERTICAL
|
| 357 |
+
text_description: inference-8x
|
| 358 |
+
data_root:
|
| 359 |
+
filenames_filter:
|
| 360 |
+
filenames_lists:
|
| 361 |
+
filenames_lists_root:
|
| 362 |
+
kspace_key: kspace_full
|
| 363 |
+
compute_mask: false
|
| 364 |
+
extra_keys:
|
| 365 |
+
kspace_context: time
|
| 366 |
+
batch_size: 1
|
| 367 |
+
metrics:
|
| 368 |
+
- fastmri_ssim
|
| 369 |
+
- fastmri_psnr
|
| 370 |
+
- fastmri_nmse
|
| 371 |
+
crop:
|
| 372 |
+
logging:
|
| 373 |
+
log_as_image:
|
| 374 |
+
tensorboard:
|
| 375 |
+
num_images: 4
|
vsharp_ads_1d_frame_init2.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:597c153281fffbb147f81bfd0574b419ec4bdd01da4b837bd9ba2d372aa23a89
|
| 3 |
+
size 953619439
|
vsharp_ads_1d_frame_init2.yaml
ADDED
|
@@ -0,0 +1,289 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
model:
|
| 2 |
+
model_name: vsharp.vsharp.VSharpNet3D
|
| 3 |
+
num_steps: 8
|
| 4 |
+
num_steps_dc_gd: 8
|
| 5 |
+
image_init: SENSE
|
| 6 |
+
no_parameter_sharing: true
|
| 7 |
+
auxiliary_steps: -1
|
| 8 |
+
initializer_channels:
|
| 9 |
+
- 32
|
| 10 |
+
- 32
|
| 11 |
+
- 64
|
| 12 |
+
- 64
|
| 13 |
+
initializer_dilations:
|
| 14 |
+
- 1
|
| 15 |
+
- 1
|
| 16 |
+
- 2
|
| 17 |
+
- 4
|
| 18 |
+
initializer_multiscale: 1
|
| 19 |
+
initializer_activation: PRELU
|
| 20 |
+
unet_num_filters: 16
|
| 21 |
+
unet_num_pool_layers: 4
|
| 22 |
+
unet_dropout: 0.0
|
| 23 |
+
unet_norm: false
|
| 24 |
+
additional_models:
|
| 25 |
+
sampling_model:
|
| 26 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 27 |
+
sampling_dimension: ONE_D
|
| 28 |
+
st_slope: 10.0
|
| 29 |
+
st_clamp: false
|
| 30 |
+
use_softplus: true
|
| 31 |
+
slope: 10.0
|
| 32 |
+
fix_sign_leakage: true
|
| 33 |
+
acceleration:
|
| 34 |
+
kspace_shape:
|
| 35 |
+
- 512
|
| 36 |
+
- 246
|
| 37 |
+
num_layers: 1
|
| 38 |
+
kspace_sampler: false
|
| 39 |
+
sampler_detach_mask: false
|
| 40 |
+
sampler_chans: 16
|
| 41 |
+
sampler_num_pool_layers: 3
|
| 42 |
+
sampler_fc_size: 128
|
| 43 |
+
sampler_drop_prob: 0.0
|
| 44 |
+
sampler_num_fc_layers: 3
|
| 45 |
+
sampler_activation: LEAKY_RELU
|
| 46 |
+
sampling_type: DYNAMIC_2D
|
| 47 |
+
num_time_steps: 12
|
| 48 |
+
num_slices:
|
| 49 |
+
sensitivity_model:
|
| 50 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 51 |
+
in_channels: 2
|
| 52 |
+
out_channels: 2
|
| 53 |
+
num_filters: 16
|
| 54 |
+
num_pool_layers: 4
|
| 55 |
+
dropout_probability: 0.0
|
| 56 |
+
physics:
|
| 57 |
+
forward_operator: fft2
|
| 58 |
+
backward_operator: ifft2
|
| 59 |
+
use_noise_matrix: false
|
| 60 |
+
noise_matrix_scaling: 1.0
|
| 61 |
+
training:
|
| 62 |
+
datasets:
|
| 63 |
+
- name: CMRxRecon
|
| 64 |
+
kspace_context: time
|
| 65 |
+
text_description: train-4x
|
| 66 |
+
transforms:
|
| 67 |
+
masking:
|
| 68 |
+
name: FastMRIEquispaced
|
| 69 |
+
accelerations:
|
| 70 |
+
- 6
|
| 71 |
+
center_fractions:
|
| 72 |
+
- 0.04
|
| 73 |
+
target_acceleration: 4.0327
|
| 74 |
+
dynamic_mask: true
|
| 75 |
+
use_seed: false
|
| 76 |
+
delete_kspace: false
|
| 77 |
+
delete_acs_mask: false
|
| 78 |
+
use_acs_as_mask: false
|
| 79 |
+
augmentation:
|
| 80 |
+
pad:
|
| 81 |
+
- 512
|
| 82 |
+
- 246
|
| 83 |
+
sensitivity_map_estimation:
|
| 84 |
+
estimate_sensitivity_maps: true
|
| 85 |
+
normalization:
|
| 86 |
+
scaling_key: acs_kspace
|
| 87 |
+
scale_percentile: 0.995
|
| 88 |
+
- name: CMRxRecon
|
| 89 |
+
kspace_context: time
|
| 90 |
+
text_description: train-6x
|
| 91 |
+
transforms:
|
| 92 |
+
masking:
|
| 93 |
+
name: FastMRIEquispaced
|
| 94 |
+
accelerations:
|
| 95 |
+
- 8.2
|
| 96 |
+
center_fractions:
|
| 97 |
+
- 0.04
|
| 98 |
+
target_acceleration: 6
|
| 99 |
+
dynamic_mask: true
|
| 100 |
+
use_seed: false
|
| 101 |
+
delete_kspace: false
|
| 102 |
+
delete_acs_mask: false
|
| 103 |
+
use_acs_as_mask: false
|
| 104 |
+
augmentation:
|
| 105 |
+
pad:
|
| 106 |
+
- 512
|
| 107 |
+
- 246
|
| 108 |
+
sensitivity_map_estimation:
|
| 109 |
+
estimate_sensitivity_maps: true
|
| 110 |
+
normalization:
|
| 111 |
+
scaling_key: acs_kspace
|
| 112 |
+
scale_percentile: 0.995
|
| 113 |
+
- name: CMRxRecon
|
| 114 |
+
kspace_context: time
|
| 115 |
+
text_description: train-8x
|
| 116 |
+
transforms:
|
| 117 |
+
masking:
|
| 118 |
+
name: FastMRIEquispaced
|
| 119 |
+
accelerations:
|
| 120 |
+
- 10.25
|
| 121 |
+
center_fractions:
|
| 122 |
+
- 0.04
|
| 123 |
+
target_acceleration: 8.2
|
| 124 |
+
dynamic_mask: true
|
| 125 |
+
use_seed: false
|
| 126 |
+
delete_kspace: false
|
| 127 |
+
delete_acs_mask: false
|
| 128 |
+
use_acs_as_mask: false
|
| 129 |
+
augmentation:
|
| 130 |
+
pad:
|
| 131 |
+
- 512
|
| 132 |
+
- 246
|
| 133 |
+
sensitivity_map_estimation:
|
| 134 |
+
estimate_sensitivity_maps: true
|
| 135 |
+
normalization:
|
| 136 |
+
scaling_key: acs_kspace
|
| 137 |
+
scale_percentile: 0.995
|
| 138 |
+
model_checkpoint:
|
| 139 |
+
optimizer: Adam
|
| 140 |
+
lr: 0.003
|
| 141 |
+
weight_decay: 0.0
|
| 142 |
+
batch_size: 1
|
| 143 |
+
lr_step_size: 10000
|
| 144 |
+
lr_gamma: 0.8
|
| 145 |
+
lr_warmup_iter: 2000
|
| 146 |
+
swa_start_iter:
|
| 147 |
+
num_iterations: 60021
|
| 148 |
+
validation_steps: 4000
|
| 149 |
+
gradient_steps: 1
|
| 150 |
+
gradient_clipping: 0.0
|
| 151 |
+
gradient_debug: false
|
| 152 |
+
loss:
|
| 153 |
+
crop:
|
| 154 |
+
losses:
|
| 155 |
+
- function: l1_loss
|
| 156 |
+
multiplier: 1
|
| 157 |
+
- function: ssim_loss
|
| 158 |
+
multiplier: 1
|
| 159 |
+
- function: ssim_3d_loss
|
| 160 |
+
multiplier: 1
|
| 161 |
+
- function: hfen_l1_norm_loss
|
| 162 |
+
multiplier: 1
|
| 163 |
+
- function: kspace_nmae_loss
|
| 164 |
+
multiplier: 3
|
| 165 |
+
checkpointer:
|
| 166 |
+
checkpoint_steps: 2000
|
| 167 |
+
metrics: []
|
| 168 |
+
regularizers: []
|
| 169 |
+
validation:
|
| 170 |
+
datasets:
|
| 171 |
+
- name: CMRxRecon
|
| 172 |
+
kspace_context: time
|
| 173 |
+
text_description: val-4x
|
| 174 |
+
transforms:
|
| 175 |
+
masking:
|
| 176 |
+
name: FastMRIEquispaced
|
| 177 |
+
accelerations:
|
| 178 |
+
- 6
|
| 179 |
+
center_fractions:
|
| 180 |
+
- 0.04
|
| 181 |
+
target_acceleration: 4
|
| 182 |
+
dynamic_mask: true
|
| 183 |
+
use_seed: true
|
| 184 |
+
delete_kspace: false
|
| 185 |
+
delete_acs_mask: false
|
| 186 |
+
use_acs_as_mask: false
|
| 187 |
+
augmentation:
|
| 188 |
+
pad:
|
| 189 |
+
- 512
|
| 190 |
+
- 246
|
| 191 |
+
sensitivity_map_estimation:
|
| 192 |
+
estimate_sensitivity_maps: true
|
| 193 |
+
normalization:
|
| 194 |
+
scaling_key: acs_kspace
|
| 195 |
+
scale_percentile: 0.995
|
| 196 |
+
- name: CMRxRecon
|
| 197 |
+
kspace_context: time
|
| 198 |
+
text_description: val-6x
|
| 199 |
+
transforms:
|
| 200 |
+
masking:
|
| 201 |
+
name: FastMRIEquispaced
|
| 202 |
+
accelerations:
|
| 203 |
+
- 8.2
|
| 204 |
+
center_fractions:
|
| 205 |
+
- 0.04
|
| 206 |
+
target_acceleration: 6
|
| 207 |
+
dynamic_mask: true
|
| 208 |
+
use_seed: true
|
| 209 |
+
delete_kspace: false
|
| 210 |
+
delete_acs_mask: false
|
| 211 |
+
use_acs_as_mask: false
|
| 212 |
+
augmentation:
|
| 213 |
+
pad:
|
| 214 |
+
- 512
|
| 215 |
+
- 246
|
| 216 |
+
sensitivity_map_estimation:
|
| 217 |
+
estimate_sensitivity_maps: true
|
| 218 |
+
normalization:
|
| 219 |
+
scaling_key: acs_kspace
|
| 220 |
+
scale_percentile: 0.995
|
| 221 |
+
- name: CMRxRecon
|
| 222 |
+
kspace_context: time
|
| 223 |
+
text_description: val-8x
|
| 224 |
+
transforms:
|
| 225 |
+
masking:
|
| 226 |
+
name: FastMRIEquispaced
|
| 227 |
+
accelerations:
|
| 228 |
+
- 10.25
|
| 229 |
+
center_fractions:
|
| 230 |
+
- 0.04
|
| 231 |
+
target_acceleration: 8.2
|
| 232 |
+
dynamic_mask: true
|
| 233 |
+
use_seed: true
|
| 234 |
+
delete_kspace: false
|
| 235 |
+
delete_acs_mask: false
|
| 236 |
+
use_acs_as_mask: false
|
| 237 |
+
augmentation:
|
| 238 |
+
pad:
|
| 239 |
+
- 512
|
| 240 |
+
- 246
|
| 241 |
+
sensitivity_map_estimation:
|
| 242 |
+
estimate_sensitivity_maps: true
|
| 243 |
+
normalization:
|
| 244 |
+
scaling_key: acs_kspace
|
| 245 |
+
scale_percentile: 0.995
|
| 246 |
+
batch_size: 1
|
| 247 |
+
metrics:
|
| 248 |
+
- fastmri_ssim
|
| 249 |
+
- fastmri_psnr
|
| 250 |
+
regularizers: []
|
| 251 |
+
crop: header
|
| 252 |
+
inference:
|
| 253 |
+
dataset:
|
| 254 |
+
name: CMRxRecon
|
| 255 |
+
transforms:
|
| 256 |
+
masking:
|
| 257 |
+
name: FastMRIEquispaced
|
| 258 |
+
accelerations:
|
| 259 |
+
- 6
|
| 260 |
+
center_fractions:
|
| 261 |
+
- 0.04
|
| 262 |
+
# Match kosmos inference target_accelerations: [4.0327].
|
| 263 |
+
target_acceleration: 4.0327
|
| 264 |
+
dynamic_mask: true
|
| 265 |
+
use_seed: true
|
| 266 |
+
delete_kspace: false
|
| 267 |
+
delete_acs_mask: false
|
| 268 |
+
use_acs_as_mask: false
|
| 269 |
+
# Kosmos inference used compute_and_apply_padding: false.
|
| 270 |
+
padding_eps: 0.0
|
| 271 |
+
augmentation:
|
| 272 |
+
pad:
|
| 273 |
+
- 512
|
| 274 |
+
- 246
|
| 275 |
+
sensitivity_map_estimation:
|
| 276 |
+
estimate_sensitivity_maps: true
|
| 277 |
+
normalization:
|
| 278 |
+
scaling_key: acs_kspace
|
| 279 |
+
scale_percentile: 0.995
|
| 280 |
+
batch_size: 1
|
| 281 |
+
crop: header
|
| 282 |
+
metrics:
|
| 283 |
+
- fastmri_ssim
|
| 284 |
+
- fastmri_psnr
|
| 285 |
+
- fastmri_nmse
|
| 286 |
+
logging:
|
| 287 |
+
log_as_image:
|
| 288 |
+
tensorboard:
|
| 289 |
+
num_images: 4
|
vsharp_ads_1d_init2.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:819bc54aba0993184b727f7f3201194d5b5e1135133ee31843ff8703fea28595
|
| 3 |
+
size 949430511
|
vsharp_ads_1d_init2.yaml
ADDED
|
@@ -0,0 +1,314 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
model:
|
| 2 |
+
model_name: vsharp.vsharp.VSharpNet3D
|
| 3 |
+
engine_name: null
|
| 4 |
+
num_steps: 8
|
| 5 |
+
num_steps_dc_gd: 8
|
| 6 |
+
image_init: SENSE
|
| 7 |
+
no_parameter_sharing: true
|
| 8 |
+
auxiliary_steps: -1
|
| 9 |
+
initializer_channels:
|
| 10 |
+
- 32
|
| 11 |
+
- 32
|
| 12 |
+
- 64
|
| 13 |
+
- 64
|
| 14 |
+
initializer_dilations:
|
| 15 |
+
- 1
|
| 16 |
+
- 1
|
| 17 |
+
- 2
|
| 18 |
+
- 4
|
| 19 |
+
initializer_multiscale: 1
|
| 20 |
+
initializer_activation: PRELU
|
| 21 |
+
unet_num_filters: 16
|
| 22 |
+
unet_num_pool_layers: 4
|
| 23 |
+
unet_dropout: 0.0
|
| 24 |
+
unet_norm: false
|
| 25 |
+
additional_models:
|
| 26 |
+
sampling_model:
|
| 27 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 28 |
+
engine_name: null
|
| 29 |
+
sampling_dimension: ONE_D
|
| 30 |
+
st_slope: 10.0
|
| 31 |
+
st_clamp: false
|
| 32 |
+
use_softplus: true
|
| 33 |
+
slope: 10.0
|
| 34 |
+
fix_sign_leakage: true
|
| 35 |
+
acceleration: null
|
| 36 |
+
kspace_shape:
|
| 37 |
+
- 12
|
| 38 |
+
- 512
|
| 39 |
+
- 246
|
| 40 |
+
num_layers: 1
|
| 41 |
+
kspace_sampler: false
|
| 42 |
+
sampler_detach_mask: false
|
| 43 |
+
sampler_chans: 16
|
| 44 |
+
sampler_num_pool_layers: 3
|
| 45 |
+
sampler_fc_size: 128
|
| 46 |
+
sampler_drop_prob: 0.0
|
| 47 |
+
sampler_num_fc_layers: 3
|
| 48 |
+
sampler_activation: LEAKY_RELU
|
| 49 |
+
sampling_type: STATIC
|
| 50 |
+
num_time_steps: null
|
| 51 |
+
num_slices: null
|
| 52 |
+
sensitivity_model:
|
| 53 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 54 |
+
engine_name: null
|
| 55 |
+
in_channels: 2
|
| 56 |
+
out_channels: 2
|
| 57 |
+
num_filters: 16
|
| 58 |
+
num_pool_layers: 4
|
| 59 |
+
dropout_probability: 0.0
|
| 60 |
+
physics:
|
| 61 |
+
forward_operator: fft2
|
| 62 |
+
backward_operator: ifft2
|
| 63 |
+
use_noise_matrix: false
|
| 64 |
+
noise_matrix_scaling: 1.0
|
| 65 |
+
training:
|
| 66 |
+
datasets:
|
| 67 |
+
- name: CMRxRecon
|
| 68 |
+
kspace_context: time
|
| 69 |
+
text_description: train-4x
|
| 70 |
+
transforms:
|
| 71 |
+
padding_eps: 0.0
|
| 72 |
+
masking:
|
| 73 |
+
name: FastMRIEquispaced
|
| 74 |
+
accelerations:
|
| 75 |
+
- 6
|
| 76 |
+
center_fractions:
|
| 77 |
+
- 0.04
|
| 78 |
+
use_seed: false
|
| 79 |
+
delete_kspace: false
|
| 80 |
+
delete_acs_mask: false
|
| 81 |
+
use_acs_as_mask: false
|
| 82 |
+
target_acceleration: 4.0327
|
| 83 |
+
augmentation:
|
| 84 |
+
pad:
|
| 85 |
+
- 512
|
| 86 |
+
- 246
|
| 87 |
+
sensitivity_map_estimation:
|
| 88 |
+
estimate_sensitivity_maps: true
|
| 89 |
+
normalization:
|
| 90 |
+
scaling_key: acs_kspace
|
| 91 |
+
scale_percentile: 0.995
|
| 92 |
+
random_augmentations:
|
| 93 |
+
random_rotation_probability: 0.0
|
| 94 |
+
random_flip_probability: 0.5
|
| 95 |
+
- name: CMRxRecon
|
| 96 |
+
kspace_context: time
|
| 97 |
+
text_description: train-8x
|
| 98 |
+
transforms:
|
| 99 |
+
padding_eps: 0.0
|
| 100 |
+
masking:
|
| 101 |
+
name: FastMRIEquispaced
|
| 102 |
+
accelerations:
|
| 103 |
+
- 8.2
|
| 104 |
+
center_fractions:
|
| 105 |
+
- 0.04
|
| 106 |
+
use_seed: false
|
| 107 |
+
delete_kspace: false
|
| 108 |
+
delete_acs_mask: false
|
| 109 |
+
use_acs_as_mask: false
|
| 110 |
+
target_acceleration: 6
|
| 111 |
+
augmentation:
|
| 112 |
+
pad:
|
| 113 |
+
- 512
|
| 114 |
+
- 246
|
| 115 |
+
sensitivity_map_estimation:
|
| 116 |
+
estimate_sensitivity_maps: true
|
| 117 |
+
normalization:
|
| 118 |
+
scaling_key: acs_kspace
|
| 119 |
+
scale_percentile: 0.995
|
| 120 |
+
random_augmentations:
|
| 121 |
+
random_rotation_probability: 0.0
|
| 122 |
+
random_flip_probability: 0.5
|
| 123 |
+
- name: CMRxRecon
|
| 124 |
+
kspace_context: time
|
| 125 |
+
text_description: train-8x
|
| 126 |
+
transforms:
|
| 127 |
+
padding_eps: 0.0
|
| 128 |
+
masking:
|
| 129 |
+
name: FastMRIEquispaced
|
| 130 |
+
accelerations:
|
| 131 |
+
- 10.25
|
| 132 |
+
center_fractions:
|
| 133 |
+
- 0.04
|
| 134 |
+
use_seed: false
|
| 135 |
+
delete_kspace: false
|
| 136 |
+
delete_acs_mask: false
|
| 137 |
+
use_acs_as_mask: false
|
| 138 |
+
target_acceleration: 8.2
|
| 139 |
+
augmentation:
|
| 140 |
+
pad:
|
| 141 |
+
- 512
|
| 142 |
+
- 246
|
| 143 |
+
sensitivity_map_estimation:
|
| 144 |
+
estimate_sensitivity_maps: true
|
| 145 |
+
normalization:
|
| 146 |
+
scaling_key: acs_kspace
|
| 147 |
+
scale_percentile: 0.995
|
| 148 |
+
random_augmentations:
|
| 149 |
+
random_rotation_probability: 0.0
|
| 150 |
+
random_flip_probability: 0.5
|
| 151 |
+
model_checkpoint: null
|
| 152 |
+
optimizer: Adam
|
| 153 |
+
lr: 0.003
|
| 154 |
+
weight_decay: 0.0
|
| 155 |
+
batch_size: 1
|
| 156 |
+
lr_step_size: 10000
|
| 157 |
+
lr_gamma: 0.8
|
| 158 |
+
lr_warmup_iter: 2000
|
| 159 |
+
swa_start_iter: null
|
| 160 |
+
num_iterations: 60001
|
| 161 |
+
validation_steps: 4000
|
| 162 |
+
gradient_steps: 1
|
| 163 |
+
gradient_clipping: 0.0
|
| 164 |
+
gradient_debug: false
|
| 165 |
+
loss:
|
| 166 |
+
crop: null
|
| 167 |
+
losses:
|
| 168 |
+
- function: l1_loss
|
| 169 |
+
multiplier: 1
|
| 170 |
+
- function: ssim_loss
|
| 171 |
+
multiplier: 1
|
| 172 |
+
- function: ssim_3d_loss
|
| 173 |
+
multiplier: 1
|
| 174 |
+
- function: hfen_l1_norm_loss
|
| 175 |
+
multiplier: 1
|
| 176 |
+
- function: kspace_nmae_loss
|
| 177 |
+
multiplier: 3
|
| 178 |
+
checkpointer:
|
| 179 |
+
checkpoint_steps: 2000
|
| 180 |
+
metrics: []
|
| 181 |
+
regularizers: []
|
| 182 |
+
validation:
|
| 183 |
+
datasets:
|
| 184 |
+
- name: CMRxRecon
|
| 185 |
+
kspace_context: time
|
| 186 |
+
text_description: val-4x
|
| 187 |
+
transforms:
|
| 188 |
+
padding_eps: 0.0
|
| 189 |
+
masking:
|
| 190 |
+
name: FastMRIEquispaced
|
| 191 |
+
accelerations:
|
| 192 |
+
- 6
|
| 193 |
+
center_fractions:
|
| 194 |
+
- 0.04
|
| 195 |
+
use_seed: true
|
| 196 |
+
delete_kspace: false
|
| 197 |
+
delete_acs_mask: false
|
| 198 |
+
use_acs_as_mask: false
|
| 199 |
+
target_acceleration: 4
|
| 200 |
+
augmentation:
|
| 201 |
+
pad:
|
| 202 |
+
- 512
|
| 203 |
+
- 246
|
| 204 |
+
sensitivity_map_estimation:
|
| 205 |
+
estimate_sensitivity_maps: true
|
| 206 |
+
normalization:
|
| 207 |
+
scaling_key: acs_kspace
|
| 208 |
+
scale_percentile: 0.995
|
| 209 |
+
random_augmentations:
|
| 210 |
+
random_rotation_probability: 0.0
|
| 211 |
+
random_flip_probability: 0.0
|
| 212 |
+
- name: CMRxRecon
|
| 213 |
+
kspace_context: time
|
| 214 |
+
text_description: val-6x
|
| 215 |
+
transforms:
|
| 216 |
+
padding_eps: 0.0
|
| 217 |
+
masking:
|
| 218 |
+
name: FastMRIEquispaced
|
| 219 |
+
accelerations:
|
| 220 |
+
- 8.2
|
| 221 |
+
center_fractions:
|
| 222 |
+
- 0.04
|
| 223 |
+
use_seed: true
|
| 224 |
+
delete_kspace: false
|
| 225 |
+
delete_acs_mask: false
|
| 226 |
+
use_acs_as_mask: false
|
| 227 |
+
target_acceleration: 6
|
| 228 |
+
augmentation:
|
| 229 |
+
pad:
|
| 230 |
+
- 512
|
| 231 |
+
- 246
|
| 232 |
+
sensitivity_map_estimation:
|
| 233 |
+
estimate_sensitivity_maps: true
|
| 234 |
+
normalization:
|
| 235 |
+
scaling_key: acs_kspace
|
| 236 |
+
scale_percentile: 0.995
|
| 237 |
+
random_augmentations:
|
| 238 |
+
random_rotation_probability: 0.0
|
| 239 |
+
random_flip_probability: 0.0
|
| 240 |
+
- name: CMRxRecon
|
| 241 |
+
kspace_context: time
|
| 242 |
+
text_description: val-8x
|
| 243 |
+
transforms:
|
| 244 |
+
padding_eps: 0.0
|
| 245 |
+
masking:
|
| 246 |
+
name: FastMRIEquispaced
|
| 247 |
+
accelerations:
|
| 248 |
+
- 10.25
|
| 249 |
+
center_fractions:
|
| 250 |
+
- 0.04
|
| 251 |
+
use_seed: true
|
| 252 |
+
delete_kspace: false
|
| 253 |
+
delete_acs_mask: false
|
| 254 |
+
use_acs_as_mask: false
|
| 255 |
+
target_acceleration: 8.2
|
| 256 |
+
augmentation:
|
| 257 |
+
pad:
|
| 258 |
+
- 512
|
| 259 |
+
- 246
|
| 260 |
+
sensitivity_map_estimation:
|
| 261 |
+
estimate_sensitivity_maps: true
|
| 262 |
+
normalization:
|
| 263 |
+
scaling_key: acs_kspace
|
| 264 |
+
scale_percentile: 0.995
|
| 265 |
+
random_augmentations:
|
| 266 |
+
random_rotation_probability: 0.0
|
| 267 |
+
random_flip_probability: 0.0
|
| 268 |
+
batch_size: 1
|
| 269 |
+
metrics:
|
| 270 |
+
- fastmri_ssim
|
| 271 |
+
- fastmri_psnr
|
| 272 |
+
regularizers: []
|
| 273 |
+
crop: header
|
| 274 |
+
inference:
|
| 275 |
+
dataset:
|
| 276 |
+
name: CMRxRecon
|
| 277 |
+
transforms:
|
| 278 |
+
padding_eps: 0.0
|
| 279 |
+
masking:
|
| 280 |
+
name: FastMRIEquispaced
|
| 281 |
+
accelerations:
|
| 282 |
+
- 6
|
| 283 |
+
center_fractions:
|
| 284 |
+
- 0.04
|
| 285 |
+
use_seed: true
|
| 286 |
+
delete_kspace: false
|
| 287 |
+
delete_acs_mask: false
|
| 288 |
+
use_acs_as_mask: false
|
| 289 |
+
target_acceleration: 4.0327
|
| 290 |
+
augmentation:
|
| 291 |
+
pad:
|
| 292 |
+
- 512
|
| 293 |
+
- 246
|
| 294 |
+
sensitivity_map_estimation:
|
| 295 |
+
estimate_sensitivity_maps: true
|
| 296 |
+
normalization:
|
| 297 |
+
scaling_key: acs_kspace
|
| 298 |
+
scale_percentile: 0.995
|
| 299 |
+
random_augmentations:
|
| 300 |
+
random_rotation_probability: 0.0
|
| 301 |
+
random_flip_probability: 0.0
|
| 302 |
+
text_description: inference
|
| 303 |
+
kspace_context: time
|
| 304 |
+
kspace_key: kspace_full
|
| 305 |
+
batch_size: 1
|
| 306 |
+
crop: header
|
| 307 |
+
metrics:
|
| 308 |
+
- fastmri_ssim
|
| 309 |
+
- fastmri_psnr
|
| 310 |
+
- fastmri_nmse
|
| 311 |
+
logging:
|
| 312 |
+
log_as_image: null
|
| 313 |
+
tensorboard:
|
| 314 |
+
num_images: 4
|
vsharp_ads_2d.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2629753974dbcb294cb69b3608359290cf5512b87ee34bb54bfe972ad63cea26
|
| 3 |
+
size 1144023535
|
vsharp_ads_2d.yaml
ADDED
|
@@ -0,0 +1,231 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
model:
|
| 2 |
+
model_name: vsharp.vsharp.VSharpNet3D
|
| 3 |
+
num_steps: 8
|
| 4 |
+
num_steps_dc_gd: 8
|
| 5 |
+
image_init: SENSE
|
| 6 |
+
no_parameter_sharing: true
|
| 7 |
+
auxiliary_steps: -1
|
| 8 |
+
initializer_channels:
|
| 9 |
+
- 32
|
| 10 |
+
- 32
|
| 11 |
+
- 64
|
| 12 |
+
- 64
|
| 13 |
+
initializer_dilations:
|
| 14 |
+
- 1
|
| 15 |
+
- 1
|
| 16 |
+
- 2
|
| 17 |
+
- 4
|
| 18 |
+
initializer_multiscale: 1
|
| 19 |
+
initializer_activation: PRELU
|
| 20 |
+
unet_num_filters: 16
|
| 21 |
+
unet_num_pool_layers: 4
|
| 22 |
+
unet_dropout: 0.0
|
| 23 |
+
unet_norm: false
|
| 24 |
+
additional_models:
|
| 25 |
+
sampling_model:
|
| 26 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 27 |
+
sampling_dimension: TWO_D
|
| 28 |
+
st_slope: 10.0
|
| 29 |
+
st_clamp: false
|
| 30 |
+
use_softplus: true
|
| 31 |
+
slope: 10.0
|
| 32 |
+
fix_sign_leakage: true
|
| 33 |
+
acceleration:
|
| 34 |
+
kspace_shape:
|
| 35 |
+
- 12
|
| 36 |
+
- 512
|
| 37 |
+
- 246
|
| 38 |
+
num_layers: 1
|
| 39 |
+
kspace_sampler: false
|
| 40 |
+
sampler_detach_mask: false
|
| 41 |
+
sampler_chans: 16
|
| 42 |
+
sampler_num_pool_layers: 3
|
| 43 |
+
sampler_fc_size: 128
|
| 44 |
+
sampler_drop_prob: 0.0
|
| 45 |
+
sampler_num_fc_layers: 3
|
| 46 |
+
sampler_activation: LEAKY_RELU
|
| 47 |
+
sampling_type: STATIC
|
| 48 |
+
num_time_steps:
|
| 49 |
+
num_slices:
|
| 50 |
+
sensitivity_model:
|
| 51 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 52 |
+
in_channels: 2
|
| 53 |
+
out_channels: 2
|
| 54 |
+
num_filters: 16
|
| 55 |
+
num_pool_layers: 4
|
| 56 |
+
dropout_probability: 0.0
|
| 57 |
+
physics:
|
| 58 |
+
forward_operator: fft2
|
| 59 |
+
backward_operator: ifft2
|
| 60 |
+
use_noise_matrix: false
|
| 61 |
+
noise_matrix_scaling: 1.0
|
| 62 |
+
training:
|
| 63 |
+
datasets:
|
| 64 |
+
- name: CMRxRecon
|
| 65 |
+
kspace_context: time
|
| 66 |
+
text_description: train
|
| 67 |
+
transforms:
|
| 68 |
+
masking:
|
| 69 |
+
name: Gaussian2D
|
| 70 |
+
accelerations:
|
| 71 |
+
- 4.0327
|
| 72 |
+
- 6
|
| 73 |
+
- 8.2
|
| 74 |
+
center_fractions:
|
| 75 |
+
- 0.04
|
| 76 |
+
- 0.04
|
| 77 |
+
- 0.04
|
| 78 |
+
use_seed: false
|
| 79 |
+
delete_kspace: false
|
| 80 |
+
delete_acs_mask: false
|
| 81 |
+
use_acs_as_mask: true
|
| 82 |
+
augmentation:
|
| 83 |
+
pad:
|
| 84 |
+
- 512
|
| 85 |
+
- 246
|
| 86 |
+
sensitivity_map_estimation:
|
| 87 |
+
estimate_sensitivity_maps: true
|
| 88 |
+
normalization:
|
| 89 |
+
scaling_key: acs_kspace
|
| 90 |
+
scale_percentile: 0.995
|
| 91 |
+
model_checkpoint:
|
| 92 |
+
optimizer: Adam
|
| 93 |
+
lr: 0.003
|
| 94 |
+
weight_decay: 0.0
|
| 95 |
+
batch_size: 1
|
| 96 |
+
lr_step_size: 10000
|
| 97 |
+
lr_gamma: 0.8
|
| 98 |
+
lr_warmup_iter: 2000
|
| 99 |
+
swa_start_iter:
|
| 100 |
+
num_iterations: 60001
|
| 101 |
+
validation_steps: 4000
|
| 102 |
+
gradient_steps: 1
|
| 103 |
+
gradient_clipping: 0.0
|
| 104 |
+
gradient_debug: false
|
| 105 |
+
loss:
|
| 106 |
+
crop:
|
| 107 |
+
losses:
|
| 108 |
+
- function: l1_loss
|
| 109 |
+
multiplier: 1
|
| 110 |
+
- function: ssim_loss
|
| 111 |
+
multiplier: 1
|
| 112 |
+
- function: ssim_3d_loss
|
| 113 |
+
multiplier: 1
|
| 114 |
+
- function: hfen_l1_norm_loss
|
| 115 |
+
multiplier: 1
|
| 116 |
+
- function: kspace_nmae_loss
|
| 117 |
+
multiplier: 3
|
| 118 |
+
checkpointer:
|
| 119 |
+
checkpoint_steps: 2000
|
| 120 |
+
metrics: []
|
| 121 |
+
regularizers: []
|
| 122 |
+
validation:
|
| 123 |
+
datasets:
|
| 124 |
+
- name: CMRxRecon
|
| 125 |
+
kspace_context: time
|
| 126 |
+
text_description: val-4x
|
| 127 |
+
transforms:
|
| 128 |
+
masking:
|
| 129 |
+
name: Gaussian2D
|
| 130 |
+
accelerations:
|
| 131 |
+
- 4.0327
|
| 132 |
+
center_fractions:
|
| 133 |
+
- 0.04
|
| 134 |
+
use_seed: true
|
| 135 |
+
delete_kspace: false
|
| 136 |
+
delete_acs_mask: false
|
| 137 |
+
use_acs_as_mask: true
|
| 138 |
+
augmentation:
|
| 139 |
+
pad:
|
| 140 |
+
- 512
|
| 141 |
+
- 246
|
| 142 |
+
sensitivity_map_estimation:
|
| 143 |
+
estimate_sensitivity_maps: true
|
| 144 |
+
normalization:
|
| 145 |
+
scaling_key: acs_kspace
|
| 146 |
+
scale_percentile: 0.995
|
| 147 |
+
- name: CMRxRecon
|
| 148 |
+
kspace_context: time
|
| 149 |
+
text_description: val-6x
|
| 150 |
+
transforms:
|
| 151 |
+
masking:
|
| 152 |
+
name: Gaussian2D
|
| 153 |
+
accelerations:
|
| 154 |
+
- 6
|
| 155 |
+
center_fractions:
|
| 156 |
+
- 0.04
|
| 157 |
+
use_seed: true
|
| 158 |
+
delete_kspace: false
|
| 159 |
+
delete_acs_mask: false
|
| 160 |
+
use_acs_as_mask: true
|
| 161 |
+
augmentation:
|
| 162 |
+
pad:
|
| 163 |
+
- 512
|
| 164 |
+
- 246
|
| 165 |
+
sensitivity_map_estimation:
|
| 166 |
+
estimate_sensitivity_maps: true
|
| 167 |
+
normalization:
|
| 168 |
+
scaling_key: acs_kspace
|
| 169 |
+
scale_percentile: 0.995
|
| 170 |
+
- name: CMRxRecon
|
| 171 |
+
kspace_context: time
|
| 172 |
+
text_description: val-8x
|
| 173 |
+
transforms:
|
| 174 |
+
masking:
|
| 175 |
+
name: Gaussian2D
|
| 176 |
+
accelerations:
|
| 177 |
+
- 8.2
|
| 178 |
+
center_fractions:
|
| 179 |
+
- 0.04
|
| 180 |
+
use_seed: true
|
| 181 |
+
delete_kspace: false
|
| 182 |
+
delete_acs_mask: false
|
| 183 |
+
use_acs_as_mask: true
|
| 184 |
+
augmentation:
|
| 185 |
+
pad:
|
| 186 |
+
- 512
|
| 187 |
+
- 246
|
| 188 |
+
sensitivity_map_estimation:
|
| 189 |
+
estimate_sensitivity_maps: true
|
| 190 |
+
normalization:
|
| 191 |
+
scaling_key: acs_kspace
|
| 192 |
+
scale_percentile: 0.995
|
| 193 |
+
batch_size: 1
|
| 194 |
+
metrics:
|
| 195 |
+
- fastmri_ssim
|
| 196 |
+
- fastmri_psnr
|
| 197 |
+
regularizers: []
|
| 198 |
+
crop: header
|
| 199 |
+
inference:
|
| 200 |
+
dataset:
|
| 201 |
+
name: CMRxRecon
|
| 202 |
+
transforms:
|
| 203 |
+
masking:
|
| 204 |
+
name: Gaussian2D
|
| 205 |
+
accelerations:
|
| 206 |
+
- 4.0327
|
| 207 |
+
center_fractions:
|
| 208 |
+
- 0.04
|
| 209 |
+
use_seed: true
|
| 210 |
+
delete_kspace: false
|
| 211 |
+
delete_acs_mask: false
|
| 212 |
+
use_acs_as_mask: true
|
| 213 |
+
augmentation:
|
| 214 |
+
pad:
|
| 215 |
+
- 512
|
| 216 |
+
- 246
|
| 217 |
+
sensitivity_map_estimation:
|
| 218 |
+
estimate_sensitivity_maps: true
|
| 219 |
+
normalization:
|
| 220 |
+
scaling_key: acs_kspace
|
| 221 |
+
scale_percentile: 0.995
|
| 222 |
+
batch_size: 1
|
| 223 |
+
crop: header
|
| 224 |
+
metrics:
|
| 225 |
+
- fastmri_ssim
|
| 226 |
+
- fastmri_psnr
|
| 227 |
+
- fastmri_nmse
|
| 228 |
+
logging:
|
| 229 |
+
log_as_image:
|
| 230 |
+
tensorboard:
|
| 231 |
+
num_images: 4
|
vsharp_ads_2d_frame.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:50aaaec0ae0c9e58c674381a4ea97fe619e8854a0e9ba14a75b6698c54e5b16a
|
| 3 |
+
size 3288734191
|
vsharp_ads_2d_frame.yaml
ADDED
|
@@ -0,0 +1,272 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
| 1 |
+
model:
|
| 2 |
+
model_name: vsharp.vsharp.VSharpNet3D
|
| 3 |
+
num_steps: 8
|
| 4 |
+
num_steps_dc_gd: 8
|
| 5 |
+
image_init: SENSE
|
| 6 |
+
no_parameter_sharing: true
|
| 7 |
+
auxiliary_steps: -1
|
| 8 |
+
initializer_channels:
|
| 9 |
+
- 32
|
| 10 |
+
- 32
|
| 11 |
+
- 64
|
| 12 |
+
- 64
|
| 13 |
+
initializer_dilations:
|
| 14 |
+
- 1
|
| 15 |
+
- 1
|
| 16 |
+
- 2
|
| 17 |
+
- 4
|
| 18 |
+
initializer_multiscale: 1
|
| 19 |
+
initializer_activation: PRELU
|
| 20 |
+
unet_num_filters: 16
|
| 21 |
+
unet_num_pool_layers: 4
|
| 22 |
+
unet_dropout: 0.0
|
| 23 |
+
unet_norm: false
|
| 24 |
+
additional_models:
|
| 25 |
+
sampling_model:
|
| 26 |
+
model_name: adaptive.policy.StraightThroughPolicy
|
| 27 |
+
sampling_dimension: TWO_D
|
| 28 |
+
st_slope: 10.0
|
| 29 |
+
st_clamp: false
|
| 30 |
+
use_softplus: true
|
| 31 |
+
slope: 10.0
|
| 32 |
+
fix_sign_leakage: true
|
| 33 |
+
acceleration:
|
| 34 |
+
kspace_shape:
|
| 35 |
+
- 512
|
| 36 |
+
- 246
|
| 37 |
+
num_layers: 1
|
| 38 |
+
kspace_sampler: false
|
| 39 |
+
sampler_detach_mask: false
|
| 40 |
+
sampler_chans: 16
|
| 41 |
+
sampler_num_pool_layers: 3
|
| 42 |
+
sampler_fc_size: 128
|
| 43 |
+
sampler_drop_prob: 0.0
|
| 44 |
+
sampler_num_fc_layers: 3
|
| 45 |
+
sampler_activation: LEAKY_RELU
|
| 46 |
+
sampling_type: DYNAMIC_2D
|
| 47 |
+
num_time_steps: 12
|
| 48 |
+
num_slices:
|
| 49 |
+
sensitivity_model:
|
| 50 |
+
model_name: unet.unet_2d.UnetModel2d
|
| 51 |
+
in_channels: 2
|
| 52 |
+
out_channels: 2
|
| 53 |
+
num_filters: 16
|
| 54 |
+
num_pool_layers: 4
|
| 55 |
+
dropout_probability: 0.0
|
| 56 |
+
physics:
|
| 57 |
+
forward_operator: fft2
|
| 58 |
+
backward_operator: ifft2
|
| 59 |
+
use_noise_matrix: false
|
| 60 |
+
noise_matrix_scaling: 1.0
|
| 61 |
+
training:
|
| 62 |
+
datasets:
|
| 63 |
+
- name: CMRxRecon
|
| 64 |
+
kspace_context: time
|
| 65 |
+
text_description: train-4x
|
| 66 |
+
transforms:
|
| 67 |
+
masking:
|
| 68 |
+
name: Gaussian2D
|
| 69 |
+
accelerations:
|
| 70 |
+
- 4.0327
|
| 71 |
+
center_fractions:
|
| 72 |
+
- 0.04
|
| 73 |
+
use_seed: false
|
| 74 |
+
delete_kspace: false
|
| 75 |
+
delete_acs_mask: false
|
| 76 |
+
use_acs_as_mask: true
|
| 77 |
+
augmentation:
|
| 78 |
+
pad:
|
| 79 |
+
- 512
|
| 80 |
+
- 246
|
| 81 |
+
sensitivity_map_estimation:
|
| 82 |
+
estimate_sensitivity_maps: true
|
| 83 |
+
normalization:
|
| 84 |
+
scaling_key: acs_kspace
|
| 85 |
+
scale_percentile: 0.995
|
| 86 |
+
- name: CMRxRecon
|
| 87 |
+
kspace_context: time
|
| 88 |
+
text_description: train-6x
|
| 89 |
+
transforms:
|
| 90 |
+
masking:
|
| 91 |
+
name: Gaussian2D
|
| 92 |
+
accelerations:
|
| 93 |
+
- 6
|
| 94 |
+
center_fractions:
|
| 95 |
+
- 0.04
|
| 96 |
+
use_seed: false
|
| 97 |
+
delete_kspace: false
|
| 98 |
+
delete_acs_mask: false
|
| 99 |
+
use_acs_as_mask: true
|
| 100 |
+
augmentation:
|
| 101 |
+
pad:
|
| 102 |
+
- 512
|
| 103 |
+
- 246
|
| 104 |
+
sensitivity_map_estimation:
|
| 105 |
+
estimate_sensitivity_maps: true
|
| 106 |
+
normalization:
|
| 107 |
+
scaling_key: acs_kspace
|
| 108 |
+
scale_percentile: 0.995
|
| 109 |
+
- name: CMRxRecon
|
| 110 |
+
kspace_context: time
|
| 111 |
+
text_description: train-8x
|
| 112 |
+
transforms:
|
| 113 |
+
masking:
|
| 114 |
+
name: Gaussian2D
|
| 115 |
+
accelerations:
|
| 116 |
+
- 8.2
|
| 117 |
+
center_fractions:
|
| 118 |
+
- 0.04
|
| 119 |
+
use_seed: false
|
| 120 |
+
delete_kspace: false
|
| 121 |
+
delete_acs_mask: false
|
| 122 |
+
use_acs_as_mask: true
|
| 123 |
+
augmentation:
|
| 124 |
+
pad:
|
| 125 |
+
- 512
|
| 126 |
+
- 246
|
| 127 |
+
sensitivity_map_estimation:
|
| 128 |
+
estimate_sensitivity_maps: true
|
| 129 |
+
normalization:
|
| 130 |
+
scaling_key: acs_kspace
|
| 131 |
+
scale_percentile: 0.995
|
| 132 |
+
model_checkpoint:
|
| 133 |
+
optimizer: Adam
|
| 134 |
+
lr: 0.003
|
| 135 |
+
weight_decay: 0.0
|
| 136 |
+
batch_size: 1
|
| 137 |
+
lr_step_size: 10000
|
| 138 |
+
lr_gamma: 0.8
|
| 139 |
+
lr_warmup_iter: 2000
|
| 140 |
+
swa_start_iter:
|
| 141 |
+
num_iterations: 60001
|
| 142 |
+
validation_steps: 4000
|
| 143 |
+
gradient_steps: 1
|
| 144 |
+
gradient_clipping: 0.0
|
| 145 |
+
gradient_debug: false
|
| 146 |
+
loss:
|
| 147 |
+
crop:
|
| 148 |
+
losses:
|
| 149 |
+
- function: l1_loss
|
| 150 |
+
multiplier: 1
|
| 151 |
+
- function: ssim_loss
|
| 152 |
+
multiplier: 1
|
| 153 |
+
- function: ssim_3d_loss
|
| 154 |
+
multiplier: 1
|
| 155 |
+
- function: hfen_l1_norm_loss
|
| 156 |
+
multiplier: 1
|
| 157 |
+
- function: kspace_nmae_loss
|
| 158 |
+
multiplier: 3
|
| 159 |
+
checkpointer:
|
| 160 |
+
checkpoint_steps: 2000
|
| 161 |
+
metrics: []
|
| 162 |
+
regularizers: []
|
| 163 |
+
validation:
|
| 164 |
+
datasets:
|
| 165 |
+
- name: CMRxRecon
|
| 166 |
+
kspace_context: time
|
| 167 |
+
text_description: val-4x
|
| 168 |
+
transforms:
|
| 169 |
+
masking:
|
| 170 |
+
name: Gaussian2D
|
| 171 |
+
accelerations:
|
| 172 |
+
- 4.0327
|
| 173 |
+
center_fractions:
|
| 174 |
+
- 0.04
|
| 175 |
+
use_seed: true
|
| 176 |
+
delete_kspace: false
|
| 177 |
+
delete_acs_mask: false
|
| 178 |
+
use_acs_as_mask: true
|
| 179 |
+
augmentation:
|
| 180 |
+
pad:
|
| 181 |
+
- 512
|
| 182 |
+
- 246
|
| 183 |
+
sensitivity_map_estimation:
|
| 184 |
+
estimate_sensitivity_maps: true
|
| 185 |
+
normalization:
|
| 186 |
+
scaling_key: acs_kspace
|
| 187 |
+
scale_percentile: 0.995
|
| 188 |
+
- name: CMRxRecon
|
| 189 |
+
kspace_context: time
|
| 190 |
+
text_description: val-6x
|
| 191 |
+
transforms:
|
| 192 |
+
masking:
|
| 193 |
+
name: Gaussian2D
|
| 194 |
+
accelerations:
|
| 195 |
+
- 6
|
| 196 |
+
center_fractions:
|
| 197 |
+
- 0.04
|
| 198 |
+
use_seed: true
|
| 199 |
+
delete_kspace: false
|
| 200 |
+
delete_acs_mask: false
|
| 201 |
+
use_acs_as_mask: true
|
| 202 |
+
augmentation:
|
| 203 |
+
pad:
|
| 204 |
+
- 512
|
| 205 |
+
- 246
|
| 206 |
+
sensitivity_map_estimation:
|
| 207 |
+
estimate_sensitivity_maps: true
|
| 208 |
+
normalization:
|
| 209 |
+
scaling_key: acs_kspace
|
| 210 |
+
scale_percentile: 0.995
|
| 211 |
+
- name: CMRxRecon
|
| 212 |
+
kspace_context: time
|
| 213 |
+
text_description: val-8x
|
| 214 |
+
transforms:
|
| 215 |
+
masking:
|
| 216 |
+
name: Gaussian2D
|
| 217 |
+
accelerations:
|
| 218 |
+
- 8.2
|
| 219 |
+
center_fractions:
|
| 220 |
+
- 0.04
|
| 221 |
+
use_seed: true
|
| 222 |
+
delete_kspace: false
|
| 223 |
+
delete_acs_mask: false
|
| 224 |
+
use_acs_as_mask: true
|
| 225 |
+
augmentation:
|
| 226 |
+
pad:
|
| 227 |
+
- 512
|
| 228 |
+
- 246
|
| 229 |
+
sensitivity_map_estimation:
|
| 230 |
+
estimate_sensitivity_maps: true
|
| 231 |
+
normalization:
|
| 232 |
+
scaling_key: acs_kspace
|
| 233 |
+
scale_percentile: 0.995
|
| 234 |
+
batch_size: 1
|
| 235 |
+
metrics:
|
| 236 |
+
- fastmri_ssim
|
| 237 |
+
- fastmri_psnr
|
| 238 |
+
regularizers: []
|
| 239 |
+
crop: header
|
| 240 |
+
inference:
|
| 241 |
+
dataset:
|
| 242 |
+
name: CMRxRecon
|
| 243 |
+
transforms:
|
| 244 |
+
masking:
|
| 245 |
+
name: Gaussian2D
|
| 246 |
+
accelerations:
|
| 247 |
+
- 4.0327
|
| 248 |
+
center_fractions:
|
| 249 |
+
- 0.04
|
| 250 |
+
use_seed: true
|
| 251 |
+
delete_kspace: false
|
| 252 |
+
delete_acs_mask: false
|
| 253 |
+
use_acs_as_mask: true
|
| 254 |
+
augmentation:
|
| 255 |
+
pad:
|
| 256 |
+
- 512
|
| 257 |
+
- 246
|
| 258 |
+
sensitivity_map_estimation:
|
| 259 |
+
estimate_sensitivity_maps: true
|
| 260 |
+
normalization:
|
| 261 |
+
scaling_key: acs_kspace
|
| 262 |
+
scale_percentile: 0.995
|
| 263 |
+
batch_size: 1
|
| 264 |
+
crop:
|
| 265 |
+
metrics:
|
| 266 |
+
- fastmri_ssim
|
| 267 |
+
- fastmri_psnr
|
| 268 |
+
- fastmri_nmse
|
| 269 |
+
logging:
|
| 270 |
+
log_as_image:
|
| 271 |
+
tensorboard:
|
| 272 |
+
num_images: 4
|