Documentation/Nightly/Modules/AutomatedLASegmentation - Revision history

Sbengali at 02:44, 12 August 2015

2015-08-12T02:44:55Z

Pieper at 00:03, 31 July 2013

2013-07-31T00:03:17Z

Sbengali at 19:49, 30 July 2013

2013-07-30T19:49:40Z

Sbengali: Updated license information

2013-07-30T16:51:42Z

Updated license information

Sbengali at 16:17, 30 July 2013

2013-07-30T16:17:32Z

Sbengali: Updated references

2013-07-30T16:16:45Z

Updated references

JChris.FillionR: moved Documentation/Nightly/Modules/SlicerModuleAutomatedLASegmentation to Documentation/Nightly/Modules/AutomatedLASegmentation

2013-07-29T21:34:32Z

moved Documentation/Nightly/Modules/SlicerModuleAutomatedLASegmentation to Documentation/Nightly/Modules/AutomatedLASegmentation

Sbengali: Added documentation for graph cut module

2013-07-29T18:10:28Z

Added documentation for graph cut module

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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}
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Author: Salma Bengali, CARMA Center, University of Utah<br>
Contributors: Gopal Veni, Alan Morris, Josh Cates, Rob MacLeod, Ross Whitaker, CARMA Center, University of Utah<br>
Contact: Salma Bengali: <email>salma.bengali@carma.utah.edu</email> <br>
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[[Image:CMRToolkit_UofU_logo.jpg‎|center|280px]]
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{{documentation/{{documentation/version}}/module-section|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.
Model data to run this module can be downloaded from the [http://slicer.kitware.com/midas3/download/folder/1550/LA+Segmentation+using+Graph+Cuts.zip Slicer Midas repository].



{{documentation/{{documentation/version}}/module-section|Use Cases}}
This module can be used to automatically segment the Left Atrium from a cardiac LGE-MRI image.
{|
|[[Image:CMRToolkit_GraphCut.png|thumb|400px|The segmented left atrium with model displayed]]
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{{documentation/{{documentation/version}}/module-section|Tutorials}}
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{{documentation/{{documentation/version}}/module-section|Panels and their use}}
* 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




{{documentation/{{documentation/version}}/module-section|Similar Modules}}
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{{documentation/{{documentation/version}}/module-section|Information for Developers}}
The source code for this module can be found at the [https://github.com/carma-center/carma_slicer_extension/ CARMA GitHub repository].


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 {{documentation/{{documentation/version}}/module-section|Module Description}}
-This module is licensed for research purposes only.
+'''Note: This module is licensed for research purposes only.  This module relies on code made available by Vladimir Kolmogorov for research use only.  See [http://vision.csd.uwo.ca/code/ this web site] for more information.'''
 The 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.
 Model data to run this module can be downloaded from the [http://slicer.kitware.com/midas3/download/folder/1550/LA+Segmentation+using+Graph+Cuts.zip Slicer Midas repository].

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 {{documentation/{{documentation/version}}/module-introduction-row}}
-Author: Salma Bengali, CARMA Center, University of Utah<br>
+Author: Umme Salma Bengali, CARMA Center, University of Utah<br>
 Contributors: Gopal Veni, Alan Morris, Josh Cates, Rob MacLeod, Ross Whitaker, CARMA Center, University of Utah<br>
-Contact: Salma Bengali: <email>salma.bengali@carma.utah.edu</email> <br>
+Contact: Umme Salma Bengali: <email>salma.bengali@carma.utah.edu</email> <br>
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 Contact: Salma Bengali: <email>salma.bengali@carma.utah.edu</email> <br>
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+{{documentation/{{documentation/version}}/module-introduction-logo-gallery
-[[Image:CMRToolkit_UofU_logo.jpg‎|center|280px]]
+|{{collaborator|logo|uofu}}|{{collaborator|longname|uofu}}
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+}}
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-*"An Experimental Comparison of Min-Cut/Max-Flow Algorithms for Energy Minimization in Vision." Yuri Boykov and Vladimir Kolmogorov, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), September 2004
+*Boykov, Yuri, and Vladimir Kolmogorov. "An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision." Pattern Analysis and Machine Intelligence, IEEE Transactions on 26, no. 9 (2004): 1124-1137.
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