Difference between revisions of "Documentation/4.3/Modules/LAScarSegmenter"
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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 [http://www.na-mic.org/ NA-MIC website].<br> | 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 [http://www.na-mic.org/ NA-MIC website].<br> | ||
− | Contributor: Liangjia Zhu, University | + | Contributor: Liangjia Zhu, Stony Brook University <br> |
− | Contributor: Yi Gao, | + | Contributor: Yi Gao, University of Alabama at Birmingham <br> |
Contributor: Josh Cates, University of Utah <br> | Contributor: Josh Cates, University of Utah <br> | ||
Contributor: Alan Morris, University of Utah <br> | Contributor: Alan Morris, University of Utah <br> | ||
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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, University | + | Contributor: Allen Tannenbaum, Stony Brook University <br> |
− | Contact: Liangjia Zhu, <email> | + | Contact: Liangjia Zhu, <email>liangjia.zhu@stonybrook.edu</email><br> |
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Latest revision as of 04:10, 29 October 2013
Home < Documentation < 4.3 < Modules < LAScarSegmenter
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 | |||||||||
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Module Description
This module performs the segmentation of the left atrial scarring tissue from MR images. Assume that the endocardium of the left atrium is provided. The module starts with searching for the left atrial wall. Then, the scarring tissue is extracted by looking for brighter voxels inside the wall.
Use Cases
This module is specifically designed for the segmentation of the left atrial scars from MR images.
Tutorials
- Load source image
- Load endocardium label image. Pulmonary veins need to be excluded from this label image
- Select Segmentation->Left Atrial Segmentation module
- Choose the source and label image. Create/select an output image.
- Press the Apply button
Panels and their use
The panel of this module is as follows:
The IO section has two input (Original Image and Endocardium Label Image) and one output.
Similar Modules
References
- Y. Gao, L. Zhu, A. Yezzi, S. Bouix , A. Tannenbaum. Scar Segmentation in DE-MRI, IEEE International Symposium on Biomedical Imaging (ISBI) , 2012.
Information for Developers
Section under construction. |