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Proceedings Paper

Morphological image analysis of left-ventricular endocardial borders in 2D echocardiograms
Author(s): Marian M. Choy; Jesse S. Jin
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Paper Abstract

Assessment of cardiac function using imaging techniques requires accurate identification of borders. We have developed a semi-automatic method for boundary detection of echocardiographic images. Our method combines morphological image analysis techniques with a second derivative operator, namely Laplican of Gaussian. Morphological filtering is used to reduce noise and increase contrast of the image. Results of second order filtering are used to locate edge points, as well as incorporate with morphological segmentation to extract the contour. We validate the results by comparing the computer generated contours to the contours manually outlined by an expert on the data sets. The average of the root mean square errors of the distances is 2.56 pixels (sigma equals 1.21 pixels) for the endocardial borders. The correlation coefficient between the areas enclosed is 0.99. Thus, by using morphological image analysis in echocardiographic images, the overall procedure is simple, efficient and produces encouraging results.

Paper Details

Date Published: 16 April 1996
PDF: 12 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237991
Show Author Affiliations
Marian M. Choy, Univ. of New South Wales (Hong Kong)
Jesse S. Jin, Univ. of New South Wales (Australia)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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