Doaa Mousa1, Nourhan Zayed1, and Inas Yassine2,3
1Computer and Systems, Electronic Research Institute, Giza, Egypt, 2Systems and Biomedical Engineering, Cairo University, Giza, Egypt, 3Medical Informatics and Image processing Lab, Nile University, Giza, Egypt
Cardiovascular
diseases (CVDs) cause 31% of the death rate globally. Automatic accurate
segmentation is needed for CVDs early detection. In this paper, we propose a
modified workflow to automatically segment the left ventricle (LV) for the
short axis cardiac perfusion MRI (perfusion CMR) images using levelset method. We
propose mitigating the initial contour extraction, and modify the technique
used to initialize the levelset algorithm in order to improve the accuracy of
segmentation results. The system workflow consists of five main modules:
preprocessing, localization, initial contour extraction, registration, and segmentation.
Our results showed enhancement in the segmentation accuracy by 5%.
