Difference between revisions of "DBP3:Utah:SlicerModuleAutomatedLASegmentation"
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Revision as of 22:52, 27 February 2013
Home < DBP3:Utah:SlicerModuleAutomatedLASegmentationCARMA Automated Graph Cut 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