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===CARMA Cardiac MRI Registration Using BRAINSFit===
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===CMR Toolkit Cardiac MRI Registration Using BRAINSFit===
  
 
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Type: CLI
 
Type: CLI
  
Category: CARMA
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Category: Cardiac MRI Toolkit
  
 
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* Interpolation Type
 
* Interpolation Type
 
* Metric Type
 
* Metric Type
The details about the advanced registration parameters can be found at http://www.slicer.org/slicerWiki/index.php/Modules:BRAINSFit.
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The details about the advanced registration parameters can be found at https://www.slicer.org/wiki/Modules:BRAINSFit.
  
 
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== Development ==
 
== Development ==
  
===Known bugs===
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===Source Code & Documentation===
  
Follow this [http://na-mic.org/Mantis/main_page.php link] to the Slicer bug tracker.
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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].
 
 
===Usability issues===
 
 
 
Follow this [http://na-mic.org/Mantis/main_page.php link] to the Slicer bug tracker. Please select the '''usability issue category''' when browsing or contributing.
 
 
 
===Source code & documentation===
 
 
 
Customize following [http://www.na-mic.org/ViewVC/index.cgi/ links] for your module.
 
 
 
[http://www.na-mic.org/Slicer/Documentation/Slicer3/html/ Links] to documentation generated by Doxygen.
 
 
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== More Information ==
 
 
===Acknowledgment===
 
Include funding and other support here.
 
 
===References===
 
Publications related to this module go here. Links to pdfs would be useful.
 
 
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Latest revision as of 18:07, 10 July 2017

Home < DBP3:Utah:SlicerModuleCardiacRegistrationBRAINSFit

CMR Toolkit Cardiac MRI Registration Using BRAINSFit

(L to R) Registered image, fixed image, and moving image

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.