Difference between revisions of "DBP3:Utah:SlicerModuleAutoScar"
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__NOTOC__ | __NOTOC__ | ||
| − | === | + | ===CMR Toolkit Automatic Left Atrial Scar=== |
{| | {| | ||
|[[Image:carma_afib_auto_scar.png|thumb|280px|Automatic Left Atrial Scar]] | |[[Image:carma_afib_auto_scar.png|thumb|280px|Automatic Left Atrial Scar]] | ||
|} | |} | ||
| + | |||
| + | ==Authors, Collaborators & Contact== | ||
| + | * CARMA Center, University of Utah: Alan Morris, Josh Cates, Rob MacLeod | ||
| + | |||
| + | <div style="margin: 20px;"> | ||
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
== General Information == | == General Information == | ||
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Type: CLI | Type: CLI | ||
| − | Category: | + | Category: Cardiac MRI Toolkit |
| + | |||
| + | </div> | ||
| + | |||
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
| − | == | + | ==Module Description== |
| − | + | This module determines left atrial scar automatically given the wall segmentation, in a post-ablation LGE-MRI. For details see: [http://healthsciences.utah.edu/carma/research/publications/pdf/automatic_lawall_scar_segmentation.pdf Perry, D. et al. "Automatic classification of scar tissue...", Proceedings of SPIE Medical Imaging: Computer Aided Diagnosis, Feb 2012.] | |
| − | |||
| − | |||
| − | |||
| − | = | + | </div> |
| − | + | ||
| + | <div style="width: 40%; float: left;"> | ||
== Usage == | == Usage == | ||
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* This module automatically classifies scar tissue in post ablation DE-MRIs | * This module automatically classifies scar tissue in post ablation DE-MRIs | ||
| + | |||
| + | * [http://wiki.na-mic.org/Wiki/index.php?title=CARMA-LA-Scar_TutorialContestSummer2012 CARMA Automatic Left Atrial Scar Tutorial] | ||
===Quick Tour of Features and Use=== | ===Quick Tour of Features and Use=== | ||
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The following are the inputs and outputs | The following are the inputs and outputs | ||
| − | * MRI | + | * MRI image : Select the DE-MRI image |
| − | * | + | * LA wall mask : Select the label map for the left atrial wall |
* Blood Pool mask : Select the label map for the blood pool | * Blood Pool mask : Select the label map for the blood pool | ||
| − | * | + | * Result : The output label map denoting scar |
| − | + | </div> | |
| − | = | + | <div> |
| + | <div style="width: 27%; float: left; padding-right: 3%;"> | ||
| − | + | == Development == | |
| − | === | + | ===Source Code & Documentation=== |
| − | + | The source code for this module can be found at the [https://github.com/carma-center/carma_slicer_extension/ GitHub repository]. | |
| − | + | </div> | |
| − | + | <div style="width: 27%; float: left; padding-right: 3%;"> | |
| − | |||
| − | |||
== More Information == | == More Information == | ||
| − | === | + | ===References=== |
| − | + | [http://healthsciences.utah.edu/carma/research/publications/pdf/automatic_lawall_scar_segmentation.pdf Perry, D. et al. "Automatic classification of scar tissue...", Proceedings of SPIE Medical Imaging: Computer Aided Diagnosis, Feb 2012.] | |
| − | + | </div> | |
| − | + | </div> | |
Latest revision as of 19:54, 29 July 2013
Home < DBP3:Utah:SlicerModuleAutoScarCMR Toolkit Automatic Left Atrial Scar
Authors, Collaborators & Contact
- CARMA Center, University of Utah: Alan Morris, Josh Cates, Rob MacLeod
General Information
Module Type & Category
Type: CLI
Category: Cardiac MRI Toolkit
Module Description
This module determines left atrial scar automatically given the wall segmentation, in a post-ablation LGE-MRI. For details see: Perry, D. et al. "Automatic classification of scar tissue...", Proceedings of SPIE Medical Imaging: Computer Aided Diagnosis, Feb 2012.
Usage
Examples, Use Cases & Tutorials
- This module automatically classifies scar tissue in post ablation DE-MRIs
Quick Tour of Features and Use
The following are the inputs and outputs
- MRI image : Select the DE-MRI image
- LA wall mask : Select the label map for the left atrial wall
- Blood Pool mask : Select the label map for the blood pool
- Result : The output label map denoting scar
Development
Source Code & Documentation
The source code for this module can be found at the GitHub repository.
