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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></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 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.


  1. Load source image
  2. Load endocardium label image. Pulmonary veins need to be excluded from this label image
  3. Select Segmentation->Left Atrial Segmentation module
  4. Choose the source and label image. Create/select an output image.
  5. 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


  • Y. Gao, L. Zhu, A. Yezzi, S. Bouix , A. Tannenbaum. Scar Segmentation in DE-MRI, IEEE International Symposium on Biomedical Imaging (ISBI) , 2012.

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