سال انتشار: ۱۳۸۹

محل انتشار: ششمین کنفرانس ماشین بینایی و پردازش تصویر

تعداد صفحات: ۴

نویسنده(ها):

shahed Mohammadi – department of computer engineering faculty of engineering azad unidrsity of arak
mohammadreza yazchi – department of biomedical engineering university of isfahan
alireza karimian – department of biomedical engineering university of isfahan
hajar mohammadi – department of electronic engineering c,zanjan university

چکیده:

Segmentation of arterial wall boundaries from intravascular images is very important problem for many applications in the study of plaque characteristics mechanical properties of the arterial wall its border reconstruction and its measurements such as internal and external lumen radius intimae size and media adventitia radius . we present a texture feature extraction approach for segmentation of the arterial wall from intravascular ultrasound IVUS images in polar domain. in a properly built intimaee space using luminal measuring we applied the lumen border to a gray-level cooccurrence matrices GLCM operator and used fuzzy c-means FCM clustering to classify then utilize a curve fitting functio. furthermore the result compared with physician labelling.