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, 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

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

• CMR Toolkit Wizard
• Automatic Cardiac MRI Inhomogeneity Correction Filter
• Automatic Left Atrial (Post-ablation) Scar Detection
• Cardiac MRI Registration
• Cardiac MRI Registration Using BRAINSFit
• PV Antrum Cut Filter
• 2D Axial Dilate Filter
• Boolean REMOVE Filter
• Scar Visualization
• Isolated Connected Image Filter
• Connected Threshold Image Filter
• Automated LA Segmentation
• LA Segmentation Workflow

Use Cases

• Sample data:
  • Sixty anonymized datasets containing LGE-MRI image data and segmentations of the left atrium from patients with atrial fibrillation: Pre and Post Radiofrequency Ablation LGE-MRI Collection
  • Sixty segmentation datasets of the left atrium from patients with atrial fibrillation who have undergone radiofrequency catheter ablation for treatment: CARMA Longitudinal Left Atrial Shape 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

• Lookup Table

Tutorials

Cardiac MRI Toolkit Tutorial

Information for Developers

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