Difference between revisions of "Documentation/Nightly/Extensions/CardiacMRIToolkit"
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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 [http://www.na-mic.org/ NA-MIC website].<br> | 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 [http://www.na-mic.org/ NA-MIC website].<br> | ||
− | Authors: Alan Morris, Salma Bengali, CARMA Center, University of Utah<br> | + | Authors: Alan Morris, Umme Salma Bengali, CARMA Center, University of Utah<br> |
Contributors: Greg Gardner, Josh Cates, Rob MacLeod, Eugene Kholmovski, CARMA Center, University of Utah<br> | Contributors: Greg Gardner, Josh Cates, Rob MacLeod, Eugene Kholmovski, CARMA Center, University of Utah<br> | ||
Contacts: Alan Morris: <email>alan.morris@carma.utah.edu</email>, Salma Bengali: <email>salma.bengali@carma.utah.edu</email><br> | Contacts: Alan Morris: <email>alan.morris@carma.utah.edu</email>, Salma Bengali: <email>salma.bengali@carma.utah.edu</email><br> |
Revision as of 02:42, 12 August 2015
Home < Documentation < Nightly < Extensions < CardiacMRIToolkit
For the latest Slicer documentation, visit the read-the-docs. |
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. | |||
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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
Tutorials
Information for Developers
The source code for this extension can be found at the CARMA GitHub repository.