Update PresetDatabase.json
Browse files- PresetDatabase.json +4 -0
PresetDatabase.json
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@@ -1,6 +1,7 @@
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{
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"presets": [
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{
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"display_name": "Generic Rigid + BSpline",
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"parameter_maps": [
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"Parameters_Rigid.txt",
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"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."
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},
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{
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"display_name": "Generic Rigid",
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"parameter_maps": [
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"Parameters_Rigid.txt"
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"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."
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},
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{
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"display_name": "IMPACT BSpline jacobian M730",
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"parameter_maps": [
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"ParameterMap_Recommended.txt"
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"description": "A deformable BSpline registration using the IMPACT metric to align semantic features extracted from pretrained models (M730). The method uses 4 resolution levels."
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},
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{
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"display_name": "IMPACT MIND",
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"parameter_maps": [
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"ParameterMap_Mind.txt"
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{
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"presets": [
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{
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"type": "elastix",
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"display_name": "Generic Rigid + BSpline",
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"parameter_maps": [
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"Parameters_Rigid.txt",
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"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."
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},
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{
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"type": "elastix",
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"display_name": "Generic Rigid",
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"parameter_maps": [
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"Parameters_Rigid.txt"
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"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."
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},
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{
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"type": "elastix",
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"display_name": "IMPACT BSpline jacobian M730",
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"parameter_maps": [
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"ParameterMap_Recommended.txt"
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"description": "A deformable BSpline registration using the IMPACT metric to align semantic features extracted from pretrained models (M730). The method uses 4 resolution levels."
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},
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{
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"type": "elastix",
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"display_name": "IMPACT MIND",
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"parameter_maps": [
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"ParameterMap_Mind.txt"
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