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Abstract #1925

The Impact of Polar based initialization and frame time curve selection on Left Ventricle short axis Perfusion MR Segmentation

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%.

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