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KMID : 0372919990200010069
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Journal of Biomedical Engineering Research
1999 Volume.20 No. 1 p.69 ~ p.73
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Boundary Detection of 3D MR Images
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Choe U-Yeong
Hwang Yong-Ho
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Abstract
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In this paper, an algorithm based on Snakes is proposed to detect the boundary of 3D images. From the first-slice MR image, the boundary of an object is detected manually. The detected boundary points are used as initial control points for detecting the boundary of the next MR image. To detect the boundary from the rest of MR images automatically, an energy term using spatial correlation between adjacent images is added to the Greedy Snakes energy formulation. A measure of shape similarity called BMD was used to evaluate the accuracy of the proposed algorithm. The average BMD value for the proposed algorithm’s result is higher than Greedy algorithm’s showing the utility of the proposed method.
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KEYWORD
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BMD, Boundary, MR image, Snakes, Spatial correlation
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