Journal
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
Volume 19, Issue 1, Pages 339-348Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JBHI.2014.2308424
Keywords
3-D echocardiography; deformable models; image segmentation; left ventricle (LV); robust estimation
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Funding
- FCT Project [PEst-OE/EEI/LA0009/2013]
- Project HEARTRACK [PTDC/EEA-CRO/103462/2008]
- FCT Scholarship [SFRH/BD/87347/2012]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/87347/2012] Funding Source: FCT
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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.
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