Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images

作者：Santiago Carlos^*; Nascimento Jacinto C; Marques Jorge S

来源：IEEE Journal of Biomedical and Health Informatics, 2015, 19(1): 339-348.

DOI：10.1109/JBHI.2014.2308424

• 3-D echocardiography
• deformable models
• image segmentation
• left ventricle (LV)
• robust estimation

The segmentation of the left ventricle (LV) is an important task to assess the cardiac function in ultrasound images of the heart. This paper presents a novel methodology for the segmentation of the LV in three-dimensional (3-D) echocardiographic images based on the probabilistic data association filter (PDAF). The proposed methodology begins by initializing a 3-D deformable model either semiautomatically, with user input, or automatically, and it comprises the following feature hierarchical approach: 1) edge detection in the vicinity of the surface (low-level features); 2) edge grouping to obtain potential LV surface patches (mid-level features); and 3) patch filtering using a shape-PDAF framework (high-level features). This method provides good performance accuracy in 20 echocardiographic volumes, and compares favorably with the state-of-the-art segmentation methodologies proposed in the recent literature.

• 出版日期2015-1