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| − | === | + | ===CMR Toolkit Cardiac MRI Registration Using BRAINSFit=== |
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Type: CLI | Type: CLI | ||
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===Examples, Use Cases & Tutorials=== | ===Examples, Use Cases & Tutorials=== | ||
| − | [[Media:Carma_BrainsFit_Registration_Tutorial.pptx|CARMA Registration Using BRAINSFit Tutorial]] | + | * [[Media:Carma_BrainsFit_Registration_Tutorial.pptx|CARMA Registration Using BRAINSFit Tutorial]] |
| − | The image volumes in this dataset: [http://hdl.handle.net/1926/1765 CARMA Registration Tutorial Data] can be used as inputs to the module. The dataset contains anonymized LGE-MRI, MRA and CT images. | + | * The image volumes in this dataset: [http://hdl.handle.net/1926/1765 CARMA Registration Tutorial Data] can be used as inputs to the module. The dataset contains anonymized LGE-MRI, MRA and CT images. |
===Quick Tour of Features and Use=== | ===Quick Tour of Features and Use=== | ||
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* Interpolation Type | * Interpolation Type | ||
* Metric Type | * Metric Type | ||
| − | The details about the advanced registration parameters can be found at | + | The details about the advanced registration parameters can be found at https://www.slicer.org/wiki/Modules:BRAINSFit. |
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== Development == | == Development == | ||
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| − | + | The source code for this module can be found at the [https://github.com/carma-center/carma_slicer_extension/ GitHub repository]. | |
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Latest revision as of 18:07, 10 July 2017
Home < DBP3:Utah:SlicerModuleCardiacRegistrationBRAINSFitCMR Toolkit Cardiac MRI Registration Using BRAINSFit
Authors, Collaborators & Contact
- CARMA Center, University of Utah: Salma Bengali, Alan Morris, Greg Gardner, Josh Cates, Rob MacLeod
General Information
Module Type & Category
Type: CLI
Category: Cardiac MRI Toolkit
Module Description
This module implements case-specific registration using BRAINSFit for cardiac LGE-MRI, MRA and CT images acquired at different time points or across different patients. The types of registration scenarios are described here. The inputs to this module are two image volumes: image volume one is the fixed volume, and image volume two is the moving volume. The user selects the imaging modalities based on the types of input image volumes. Registration parameters are tuned for the registration cases. Input image volumes that are cropped to the area around the left atrium can also be used to improve the final registration result. Advanced registration parameters can be changed to check if the registration result shows improvement.
Usage
Examples, Use Cases & Tutorials
- The image volumes in this dataset: CARMA Registration Tutorial Data can be used as inputs to the module. The dataset contains anonymized LGE-MRI, MRA and CT images.
Quick Tour of Features and Use
The following are the inputs and outputs:
- Image Volume One (Fixed): Select the LGE-MRI, MRA or CT Image
- Image Volume Two (Moving): Select the LGE-MRI or MRA image
- Output Image Volume: The registration result
- Imaging modality: The types of image volumes that are being registered (e.g LGE-MRI, MRA, CT, Acute Scar)
Advanced Registration Parameters
The advanced registration parameters are:
- Initialization Type
- Registration Type
- Maximum Number of Iterations
- Number of Samples
- Minimum Step Length
- Transform Scale
- Reproportion Scale
- Skew Scale
- Interpolation Type
- Metric Type
The details about the advanced registration parameters can be found at https://www.slicer.org/wiki/Modules:BRAINSFit.
Development
Source Code & Documentation
The source code for this module can be found at the GitHub repository.
