Difference between revisions of "Projects:ScarIdentification"
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| + | Y. Gao, L. Zhu, A. Yezzi, S. Bouix , A. Tannenbaum. Scar Segmentation in DE-MRI, IEEE International Symposium on Biomedical Imaging (ISBI) , 2012. | ||
Revision as of 05:17, 20 November 2012
Home < Projects:ScarIdentificationBack to Boston University Algorithms
Description
To segment the scaring tissue from DE-MRI images, we proposed an effective method that utilizes the geometric and intensity information of the left atrial wall. The key observation is that the scaring tissue lies around a thin layer outside the LA chamber and has high intensity values. In order to identify the scar in the image, we first extract the wall region of the LA. Then, the extraction of the scar is restricted in the wall region.
Scars in a DE-MRI image. The LA is highlighted with red contour. From left to right: scars in axial, sagittal, and coronal views, respectively.
Results
Extracted LA wall. From left to right: LA wall in axial, sagittal, and coronal views, respectively.
From left to right: scars in axial, sagittal, and coronal views, respectively.
Key Investigators
- Georgia Tech: Liangjia Zhu and Anthony Yezzi
- BWH: Yi Gao
- Boston University: Allen Tannenbaum
Publications
Y. Gao, L. Zhu, A. Yezzi, S. Bouix , A. Tannenbaum. Scar Segmentation in DE-MRI, IEEE International Symposium on Biomedical Imaging (ISBI) , 2012.
