Automatic detection of region of interest and center point of left ventricle using watershed segmentation

In the detection of the boundary of the left ventricle from echocardiographic images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle. In this paper, a new algorithm is proposed for automatic detection of the ROI and CP of the left ventric...

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Bibliographic Details
Main Authors: Jierong Cheng, Say Wei Foo, Krishnan, S.A.
Format: Conference Proceeding
Language:English
Subjects:
Active contours
Biomedical engineering
Educational institutions
Heart
Humans
Image segmentation
Kernel
Morphological operations
Smoothing methods
Speckle
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Summary:In the detection of the boundary of the left ventricle from echocardiographic images, the crucial step is to determine the region of interest (ROI) or the center point (CP) of the left ventricle. In this paper, a new algorithm is proposed for automatic detection of the ROI and CP of the left ventricle from echocardiographic images. The method makes use of morphological operations and watershed segmentation. No prior assumption of the approximate location is required and no human intervention is necessary for the proposed approach hence making it most suitable for automatic operation.
ISSN:0271-4302
2158-1525
DOI:10.1109/ISCAS.2005.1464546