Difference between revisions of "Projects:ScarIdentification"
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= Description = | = 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 | 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 | ||
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= Key Investigators = | = Key Investigators = | ||
*Georgia Tech: Liangjia Zhu and Anthony Yezzi | *Georgia Tech: Liangjia Zhu and Anthony Yezzi | ||
| − | *BWH: Yi Gao | + | *BWH: Yi Gao and Sylvain Bouix |
*Boston University: Allen Tannenbaum | *Boston University: Allen Tannenbaum | ||
= Publications = | = Publications = | ||
| + | Y. Gao, L. Zhu, A. Yezzi, S. Bouix , A. Tannenbaum. Scar Segmentation in DE-MRI, IEEE International Symposium on Biomedical Imaging (ISBI) , 2012. | ||
Latest revision as of 01:04, 16 November 2013
Home < Projects:ScarIdentificationBack to Stony Brook 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 and Sylvain Bouix
- 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.
