File size: 4,497 Bytes
6afc1ec efdeefe 6afc1ec 564cff2 6afc1ec ee3e448 6afc1ec efdeefe 4b7eec7 6afc1ec | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 | {
"display_name": "FireANTs (IMPACT)",
"short_description": "Rigid + Affine + SyN driven by the IMPACT deep-feature metric on GPU (FireANTs).",
"description": "GPU deformable registration with FireANTs where the SyN stage is driven by the KonfAI IMPACT metric — deep features from one or more pretrained TorchScript models — instead of an intensity metric. A Rigid (MI) + Affine (MI) linear pre-align seeds a symmetric diffeomorphic SyN optimised with Riemannian Adam against a weighted multi-model feature distance. Produces the displacement field on the fixed grid, from which impact-reg-konfai derives the moved image. FireANTs is an external dependency under the FireANTs License v1.0 (see NOTICE); the feature models are fetched from VBoussot/impact-torchscript-models.",
"task": "registration",
"tta": 0,
"mc_dropout": 0,
"models": [],
"inputs": {
"Fixed": {
"display_name": "Fixed image",
"volume_type": "VOLUME",
"required": true
},
"Moving": {
"display_name": "Moving image",
"volume_type": "VOLUME",
"required": true
},
"FixedMask": {
"display_name": "Fixed mask (optional)",
"volume_type": "SEGMENTATION",
"required": false,
"default": "ones"
},
"MovingMask": {
"display_name": "Moving mask (optional)",
"volume_type": "SEGMENTATION",
"required": false,
"default": "ones"
}
},
"outputs": {
"DisplacementField": {
"display_name": "Displacement field",
"volume_type": "VOLUME",
"required": true
}
},
"inputs_evaluations": {
"Image": {
"Evaluation_with_images.yml": {
"FixedImage": {
"display_name": "Fixed image",
"volume_type": "VOLUME",
"required": true
},
"MovingImage": {
"display_name": "Moving image",
"volume_type": "VOLUME",
"required": true
},
"Mask": {
"display_name": "Evaluation mask",
"volume_type": "SEGMENTATION",
"required": false
}
}
},
"Segmentation": {
"Evaluation_with_seg.yml": {
"FixedSeg": {
"display_name": "Fixed segmentation",
"volume_type": "SEGMENTATION",
"required": true
},
"MovingSeg": {
"display_name": "Moving segmentation",
"volume_type": "SEGMENTATION",
"required": true
}
}
},
"Landmarks": {
"Evaluation_with_fid.yml": {
"FixedFid": {
"display_name": "Fixed landmarks",
"volume_type": "FIDUCIALS",
"required": true
},
"MovingFid": {
"display_name": "Moving landmarks",
"volume_type": "FIDUCIALS",
"required": true
}
}
}
},
"vram_bytes_per_voxel": 1150,
"tiling": {
"global": "Prediction.yml",
"tile": "Prediction_tile.yml",
"tile_vram_bytes_per_voxel": 1150,
"tile_ram_bytes_per_voxel": 3050
},
"requirements_no_deps": [
"fireants>=1.5,<1.6"
],
"ram_bytes_per_voxel": 3150,
"model_files": [
{
"repo_id": "VBoussot/impact-torchscript-models",
"revision": "47ffad660e67cebbac8d74aecf0fa181c5dac042",
"filename": "TS/M291.pt"
}
],
"sample": {
"label": "Baseline CT (fixed) and follow-up CT (moving) of the lungs of one NLST participant, with their masks (fidopt L2R_NLST 0014_0000_0014_0001, Learn2Reg 2022-23; NLST, TCIA, CC BY 4.0)",
"inputs": {
"Fixed": "L2R_NLST/development/0014_0000_0014_0001/fixed.ome.zarr",
"Moving": "L2R_NLST/development/0014_0000_0014_0001/moving.ome.zarr",
"FixedMask": "L2R_NLST/development/0014_0000_0014_0001/fixed_mask.ome.zarr",
"MovingMask": "L2R_NLST/development/0014_0000_0014_0001/moving_mask.ome.zarr"
}
}
}
|