Update PresetDatabase.json
Browse files- PresetDatabase.json +2 -2
PresetDatabase.json
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@@ -9,7 +9,7 @@
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"models": [],
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"preprocess_function": "",
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"iterations": 3000,
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"short_description": "Two-stage registration: rigid alignment followed by BSpline refinement."
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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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@@ -20,7 +20,7 @@
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"models": [],
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"preprocess_function": "",
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"iterations": 1000,
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"short_description": "Rigid registration using mutual information and a multi-resolution pyramid."
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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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"models": [],
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"preprocess_function": "",
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"iterations": 3000,
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"short_description": "Two-stage registration: rigid alignment followed by BSpline refinement.",
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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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"models": [],
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"preprocess_function": "",
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"iterations": 1000,
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"short_description": "Rigid registration using mutual information and a multi-resolution pyramid.",
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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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