Difference between revisions of "Documentation/4.3/Modules/LASegmenter"

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Contributor: Greg Gardner, University of Utah <br>
 
Contributor: Greg Gardner, University of Utah <br>
 
Contributor: Rob MacLeod, University Utah <br>
 
Contributor: Rob MacLeod, University Utah <br>
Contributor: Allen Tannenbaum, Stony Brook University <br>
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Contributor: Allen Tannenbaum, Stony Brook University <br>
 
Contact: Liangjia Zhu, <email>liangjia.zhu@stonybrook.edu</email><br>
 
Contact: Liangjia Zhu, <email>liangjia.zhu@stonybrook.edu</email><br>
 
{{documentation/{{documentation/version}}/module-introduction-row}}
 
{{documentation/{{documentation/version}}/module-introduction-row}}
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*Select Editor module
 
*Select Editor module
 
# Choose Master Volume and Merge Volume (label map to be used for the left atrium seed region)
 
# Choose Master Volume and Merge Volume (label map to be used for the left atrium seed region)
# Select PaintEffect and adjust Radius (in mm) so that the painted seed region (a circle) is completetly inside the left atrium
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# Select PaintEffect and adjust Radius (in mm) so that the painted seed region (a circle) is completely inside the left atrium
 
# Go to the Axial view, choose a slice that is approximately to the center of the left atrium. Then, draw a circle that lies to the center of the left atrium on the slice
 
# Go to the Axial view, choose a slice that is approximately to the center of the left atrium. Then, draw a circle that lies to the center of the left atrium on the slice
 
[[file:LASegSeedPanel.png|350px]][[file:LASegSeedImage.png]]
 
[[file:LASegSeedPanel.png|350px]][[file:LASegSeedImage.png]]
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# Select Original Image, Seed Label Image (the one obtained from the Editor module), and select/create Segmentation Results
 
# Select Original Image, Seed Label Image (the one obtained from the Editor module), and select/create Segmentation Results
 
# Adjust parameters if needed
 
# Adjust parameters if needed
# Press Apply button and it takes several mimutes to process one volume
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# Press Apply button and it takes several minutes to process one volume
 
[[file:LASegPanel.png|350px]][[file:LASegResult.png]]
 
[[file:LASegPanel.png|350px]][[file:LASegResult.png]]
  
 
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{{documentation/{{documentation/version}}/module-section|Panels and their use}}
 
{{documentation/{{documentation/version}}/module-section|Panels and their use}}
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A properly set seed region is required to start the segmentation process. In principle, the seed region needs to be set closely to the center of the left atrium and covers the most of left atrium region on the selected image slice. The radius of a seed region is determined by the size of the left atrium. A small radius may cause the segmentation terminates before reaching the left atrium boundary. A large radius may lead to oversegmentation. Examples of good seed regions with various radius from small to large are shown below:
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[[file:LASeedRadSmall.png|300px]] [[file:LASeedRadMid.png|300px]] [[file:LASeedRadLarge.png|300px]]
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From left to right: seed radii are 10, 18, and 24 mm, respectively.
  
 
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Latest revision as of 05:23, 1 November 2013

Home < Documentation < 4.3 < Modules < LASegmenter


For the latest Slicer documentation, visit the read-the-docs.



Introduction and Acknowledgements

This work is part of the National Alliance for Medical Image Computing (NA-MIC), funded by the National Institutes of Health through the NIH Roadmap for Medical Research, Grant U54 EB005149. Information on NA-MIC can be obtained from the NA-MIC website.

Contributor: Liangjia Zhu, Stony Brook University
Contributor: Yi Gao, University of Alabama at Birmingham
Contributor: Josh Cates, University of Utah
Contributor: Alan Morris, University of Utah
Contributor: Danny Perry, University of Utah
Contributor: Greg Gardner, University of Utah
Contributor: Rob MacLeod, University Utah
Contributor: Allen Tannenbaum, Stony Brook University
Contact: Liangjia Zhu, <email>liangjia.zhu@stonybrook.edu</email>

National Alliance for Medical Image Computing (NA-MIC)  
The University of Alabama at Birmingham  
Psychiatry Neuroimaging Laboratory (PNL)  
Scientific Computing and Imaging Institute (SCI)  

Module Description

This module performs the segmentation of the left atrium from MR images. It is an implementation of a region-growing-based method with a shape prior. The module starts from a manually generated seed region inside the left atrium. Then, the growing process gradually captures the whole left atrium region.

Use Cases

This module is specifically designed for the segmentation of the left atrium from MR images.

Tutorials

  • Load source image
    LASegLoad.png


  • Select Editor module
  1. Choose Master Volume and Merge Volume (label map to be used for the left atrium seed region)
  2. Select PaintEffect and adjust Radius (in mm) so that the painted seed region (a circle) is completely inside the left atrium
  3. Go to the Axial view, choose a slice that is approximately to the center of the left atrium. Then, draw a circle that lies to the center of the left atrium on the slice

LASegSeedPanel.pngLASegSeedImage.png


  • Go to Segmentation->Left Atrium Segmentation module
  1. Select Original Image, Seed Label Image (the one obtained from the Editor module), and select/create Segmentation Results
  2. Adjust parameters if needed
  3. Press Apply button and it takes several minutes to process one volume

LASegPanel.pngLASegResult.png

Panels and their use

A properly set seed region is required to start the segmentation process. In principle, the seed region needs to be set closely to the center of the left atrium and covers the most of left atrium region on the selected image slice. The radius of a seed region is determined by the size of the left atrium. A small radius may cause the segmentation terminates before reaching the left atrium boundary. A large radius may lead to oversegmentation. Examples of good seed regions with various radius from small to large are shown below:

LASeedRadSmall.png LASeedRadMid.png LASeedRadLarge.png

From left to right: seed radii are 10, 18, and 24 mm, respectively.

Similar Modules

References

L. Zhu, Y. Gao, A. Yezzi, R. MacLeod, J. Cates, A. Tannenbaum. Automatic Segmentation of the Left Atrium from MRI Images Using Salient Feature and Contour Evolution, IEEE Engineering in Medicine and Biology Conference(EMBC), 2012.

Information for Developers