Difference between revisions of "DBP3:Utah:SlicerModuleAutomatedLASegmentation"
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− | |[[File: | + | |[[File:CMRToolkit_GraphCut.png|thumb|center|Automated LA Segmentation]] |
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==Authors, Collaborators & Contact== | ==Authors, Collaborators & Contact== | ||
− | * CARMA Center, University of Utah: Gopal Veni, Salma Bengali | + | * CARMA Center, University of Utah: Gopal Veni, Salma Bengali, Alan Morris, Josh Cates, Rob MacLeod, Ross Whitaker |
<div style="margin: 20px;"> | <div style="margin: 20px;"> | ||
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==General Information== | ==General Information== | ||
===Module Type & Category=== | ===Module Type & Category=== | ||
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Type: CLI | Type: CLI | ||
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The following are the inputs and outputs | The following are the inputs and outputs | ||
− | * Input Image : Select the LGE-MRI image | + | * Input Image : Select the cardiac LGE-MRI image volume |
− | * Smoothness Parameter : | + | * Smoothness Parameter : Select the smoothness parameter value |
− | * | + | * Model Number: Select the model number |
− | * | + | * Output Endo Label Image: Create the output endo label image |
+ | * Output Epi Label Image: Create the output epi label image | ||
+ | * Model Data Directory: Select the directory of the input model | ||
+ | * Epi Mesh: Create the output epi mesh | ||
+ | * Endo Mesh: Create the output endo mesh | ||
+ | * Center of Left Atrium: Select the approximate center of the left atrium by placing a fiducial | ||
</div> | </div> |
Revision as of 18:54, 29 July 2013
Home < DBP3:Utah:SlicerModuleAutomatedLASegmentationCARMA Automated Graph Cut LA Segmentation
Authors, Collaborators & Contact
- CARMA Center, University of Utah: Gopal Veni, Salma Bengali, Alan Morris, Josh Cates, Rob MacLeod, Ross Whitaker
General Information
Module Type & Category
Type: CLI
Category: CARMA
Module Description
This module automatically segments the left atrium from a cardiac LGE-MRI image volume. The input to the module is a cardiac LGE-MRI image, a smoothness parameter and model data. The model is arbitrarily selected and can be changed to check if it improves the segmentation output.
Usage
Examples, Use Cases & Tutorials
- This module is meant to be used for segmenting the left atrium from cardiac LGE-MRI images.
Quick Tour of Features and Use
The following are the inputs and outputs
- Input Image : Select the cardiac LGE-MRI image volume
- Smoothness Parameter : Select the smoothness parameter value
- Model Number: Select the model number
- Output Endo Label Image: Create the output endo label image
- Output Epi Label Image: Create the output epi label image
- Model Data Directory: Select the directory of the input model
- Epi Mesh: Create the output epi mesh
- Endo Mesh: Create the output endo mesh
- Center of Left Atrium: Select the approximate center of the left atrium by placing a fiducial