Documentation/Nightly/Extensions/CardiacMRIToolkit

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Introduction and Acknowledgements

This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.
Authors: Alan Morris, Umme Salma Bengali, CARMA Center, University of Utah
Contributors: Greg Gardner, Josh Cates, Rob MacLeod, Eugene Kholmovski, CARMA Center, University of Utah
Contacts: Alan Morris: <email>alan.morris@carma.utah.edu</email>, Salma Bengali: <email>salma.bengali@carma.utah.edu</email>
Website: Slicer CMR Toolkit
http://carmacenter.org
http://www.na-mic.org/Wiki/index.php/DBP3:Utah

The University of Utah Health Sciences  

Extension Description

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The Cardiac MRI Toolkit extension consists of several modules that can be used in the analysis of cardiac LGE-MRI images for the purpose of studying cardiac arrhythmia.

Modules

Use Cases

  • Sample data:
  • Automatic scar detection from cardiac LGE-MRI scans
  • Segmentation of the heart
  • Cardiac LGE-MRI image registration
  • Various operations on segmentation masks

Lookup Table

Tutorials


Information for Developers

The source code for this extension can be found at the CARMA GitHub repository.