Difference between revisions of "DBP3:Utah:SlicerModuleAutomatedLASegmentation"

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===Examples, Use Cases & Tutorials===
 
===Examples, Use Cases & Tutorials===
  
* This module is meant to be used for segmenting the left atrium from cardiac LGE-MRI images.  
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* This module is meant to be used for segmenting the left atrium from cardiac LGE-MRI images.
* [[Media:]]
 
  
 
===Quick Tour of Features and Use===
 
===Quick Tour of Features and Use===

Revision as of 22:52, 27 February 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, Greg Gardner, Alan Morris, Josh Cates, Rob MacLeod, Ross Whitaker

General Information

Module Type & Category

Module construction in progress...

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 LGE-MRI image
  • Smoothness Parameter : Enter an integer value between 0 and 4
  • Input Data Directory: Select the data directory containing the model data
  • Output Image : The output volume

Development

Source Code & Documentation

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