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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Title: Integrated 3D Anatomical Model for Automatic Myocardial Segmentation in Cardiac CT Imagery
Committee:
Dr. Yezzi, Advisor
Dr. Vela, Chair
Dr. Oshinski
Dr. Dixon
Abstract: The objective of the proposed research is to develop a novel multi-dimensional automatic edge detection algorithm based on shape priors and principal component analysis (PCA) for automatic segmentation of myocardial boundaries in cardiac CT imagery. Function and anatomy are both equally important in the assessment of coronary artery disease (CAD). Currently, there are few, if any, tools that can perform full automatic cardiac segmentation available in the market, which hampers the translation of a multi-modality fusion approach to the clinical environment. We propose to develop algorithms which will allow efficient segmentation of the left and right endocardia and biventricular epicardium from clinical CT datasets with minimal user intervention, clinically acceptable times and accuracy.
