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Automatic Heart Segmentation in a Cardiac Ultrasound Image  

Lee, Jae-Jun ((주)에이디티)
Kim, Dong-Sung (숭실대학교 정보통신전자공학부)
Publication Information
Journal of KIISE:Software and Applications / v.33, no.4, 2006 , pp. 418-426 More about this Journal
Abstract
This paper proposes a robust and efficient segmentation method for a cardiac ultrasound image taken from a probe inserted into the heart in surgery. The method consists of three steps: initial boundary extraction, whole boundary modification using confidence competition, and local boundary modification using the rolling spoke method. Firstly, the initial boundary is extracted with threshold regions along the global spokes emitted from the center of an ultrasound probe. Secondly, high confidence boundary edges are detected along the global spokes by competing among initial boundary candidate and new candidates achieved by edge and appearance information. finally, the boundary is modified by rolling local spokes along concave regions that are difficult to extract using the global spokes. The proposed method produces promising segmentation results for the ultrasound cardiac images acquired during surgery.
Keywords
Medical image segmentation; Cardiac segmentation; Ultrasound image;
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