Automatic 3-D Segmentation of Endocardial Border of the Left Ventricle From Ultrasound Images | IEEE Journals & Magazine | IEEE Xplore

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


Abstract:

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...Show More

Abstract:

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.
Published in: IEEE Journal of Biomedical and Health Informatics ( Volume: 19, Issue: 1, January 2015)
Page(s): 339 - 348
Date of Publication: 26 February 2014

ISSN Information:

PubMed ID: 25561455

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