Difference between revisions of "Documentation/Nightly/Extensions/CardiacMRIToolkit"

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*Sample data:
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** Sixty anonymized datasets containing LGE-MRI image data and segmentations of the left atrium from patients with atrial fibrillation: [http://hdl.handle.net/1926/1755 Pre and Post Radiofrequency Ablation LGE-MRI Collection]
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** Sixty segmentation datasets of the left atrium from patients with atrial fibrillation who have undergone radiofrequency catheter ablation for treatment: [http://hdl.handle.net/1926/1764 CARMA Longitudinal Left Atrial Shape Data]
 
* Automatic scar detection from cardiac LGE-MRI scans
 
* Automatic scar detection from cardiac LGE-MRI scans
 
* Segmentation of the heart
 
* Segmentation of the heart

Revision as of 23:48, 21 February 2013

Home < Documentation < Nightly < Extensions < CardiacMRIToolkit

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, 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>

Carma UofU logo.jpg

Extension Description

The CARMA 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

Tutorials

Tutorials for the modules can be found on their respective pages.

Information for Developers

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