Difference between revisions of "DBP3:Utah:SlicerModuleAutomatedLASegmentation"

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(Updated module documentation)
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|[[File:CARMA_GopalLASeg.png‎|thumb|center|Automated LA Segmentation]]
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|[[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, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod, Ross Whitaker
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* CARMA Center, University of Utah: Gopal Veni, Salma Bengali, Alan Morris, Josh Cates, Rob MacLeod, Ross Whitaker
  
 
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==General Information==
 
==General Information==
 
===Module Type & Category===
 
===Module Type & Category===
 
Module construction in progress...
 
  
 
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
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* Input Image : Select the cardiac LGE-MRI image volume
* Smoothness Parameter : Enter an integer value between 0 and 4
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* Smoothness Parameter : Select the smoothness parameter value
* Input Data Directory: Select the data directory containing the model data
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* Model Number: Select the model number
* Output Image : The output volume
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* Output Endo Label Image: Create the output endo label image
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* Output Epi Label Image: Create the output epi label image
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* Model Data Directory: Select the directory of the input model
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* Epi Mesh: Create the output epi mesh
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* Endo Mesh: Create the output endo mesh
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* Center of Left Atrium: Select the approximate center of the left atrium by placing a fiducial
  
 
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Revision as of 18:54, 29 July 2013

Home < DBP3:Utah:SlicerModuleAutomatedLASegmentation

CARMA Automated Graph Cut LA Segmentation

Automated 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

Development

Source Code & Documentation