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KMID : 0372919920130020115
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Journal of Biomedical Engineering Research
1992 Volume.13 No. 2 p.115 ~ p.124
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Automatic Detection of Left Ventricular Contour from 2-D Echocardiograms using Fuzzy Hough Transform
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Cho Jin-Ho
K. P. Philip
E. L. Dove
K. B. Chandran
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Abstract
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An algorithm has been proposed for the automatic detection of optimal epiand endocardial left ventricular borders from 2-D short axis echocardiogram which is degraded by noise and echo drop out. For the implementation of the algorithm, we modified Ballard’’’’s Generalized Hough Transform which can be applicable only for deterministic object border, and newly proposed Fuzzy Hough Transform method. The algorithm presented here allows detection of object whose exact shapes are unknown. The algorithm only requires an approximate model of target object based on anatomical data. To detect the approximate epicardial contour of left ventricle, Fuzzy Hough Transform was applied to the echocardiogram. The optimal epicardial contour was founded by using graph searching method which contains cost function analysis process. Using this optimal epicardial contour and average thickness imformation of left ventricular wall, the approximate endocardial line was founded, and graph searching method was also used to detect optimal endocardial contour.
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KEYWORD
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