Title :
Automated Endocardial Boundary Detection using Dynamic Directional Gradient Vector Flow Snakes
Author :
Thika, Kir ; Foo, Say Wei
Author_Institution :
Nanyang Technol. Univ., Nanyang
Abstract :
The endocardial boundary detection of the left ventricle (LV) of the heart is a valuable diagnostic step to determine the abnormalities of the heart. In this paper, an automated method to obtain the endocardial boundary is proposed. The watershed transformation is performed on the morphological image to localize the region contained the LV (ROI). The DDGVF field is then utilized dynamically to deform the snake into the endocardial boundary of the LV.
Keywords :
echocardiography; automated endocardial boundary detection; dynamic directional gradient vector flow snakes; heart; left ventricle; morphological image; watershed transformation;
Conference_Titel :
Biomedical and Pharmaceutical Engineering, 2006. ICBPE 2006. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-981-05-79
Electronic_ISBN :
81-904262-1-4
