File size: 2,647 Bytes
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"presets": [
{
"type": "elastix",
"display_name": "Generic Rigid + BSpline",
"parameter_maps": [
"Parameters_Rigid.txt",
"Parameters_BSpline.txt"
],
"models": [],
"preprocess_function": "",
"iterations": 3000,
"short_description": "Two-stage registration: rigid alignment followed by BSpline refinement.",
"description": "A combined registration strategy: first a rigid Euler transform corrects global misalignment, then a BSpline model captures localized anatomical deformations. Both stages use a multi-resolution pyramid, mutual information, and stochastic optimization for robust performance across a wide range of multimodal imaging scenarios."
},
{
"type": "elastix",
"display_name": "Generic Rigid",
"parameter_maps": [
"Parameters_Rigid.txt"
],
"models": [],
"preprocess_function": "",
"iterations": 1000,
"short_description": "Rigid registration using mutual information and a multi-resolution pyramid.",
"description": "This preset performs rigid alignment using an Euler transform optimized with Adaptive Stochastic Gradient Descent. It uses a 4-level multi-resolution strategy and Mattes mutual information as similarity metric. Initial alignment based on image centers are enabled to ensure robust convergence for multimodal images."
},
{
"type": "elastix",
"display_name": "IMPACT BSpline jacobian M730",
"parameter_maps": [
"ParameterMap_Recommended.txt"
],
"models": [
"VBoussot/impact-torchscript-models:TS/M730_2_Layers.pt"
],
"preprocess_function": "Preprocess:standardize_MRI",
"iterations": 1900,
"short_description": "IMPACT-based multimodal BSpline registration with deep semantic features (M730)",
"description": "A deformable BSpline registration using the IMPACT metric to align semantic features extracted from pretrained models (M730). The method uses 4 resolution levels."
},
{
"type": "elastix",
"display_name": "IMPACT MIND",
"parameter_maps": [
"ParameterMap_Mind.txt"
],
"models": [
"VBoussot/impact-torchscript-models:MIND/R1D2.pt"
],
"preprocess_function": "Preprocess:standardize_MRI",
"iterations": 900,
"short_description": "IMPACT-based multimodal BSpline registration with MIND",
"description": "A deformable BSpline registration using the IMPACT metric to align semantic features extracted from pretrained models MIND. The method uses 4 resolution levels."
}
]
}
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