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Automatic Segmentation of the Prostate in MR Images using Image Intensity and Gradient Information  

Jang, Yj-Jin (서울여자대학교 컴퓨터학과)
Jo, Hyun-Hee (서울여자대학교 컴퓨터학과)
Hong, Helen (서울여자대학교 미디어학부)
Publication Information
Journal of KIISE:Computing Practices and Letters / v.15, no.9, 2009 , pp. 695-699 More about this Journal
Abstract
In this paper, we propose an automatic prostate segmentation technique using image intensity and gradient information. Our method is composed of four steps. First, rays at regular intervals are generated. To minimize the effect of noise, the start and end positions of the ray are calculated. Second, the profiles on each ray are sorted based on the gradient. And priorities are applied to the sorted gradient in the profile. Third, boundary points are extracted by using gradient priority and intensity distribution. Finally, to reduce the error, the extracted boundary points are corrected by using B-spline interpolation. For accuracy evaluation, the average distance differences and overlapping region ratio between results of manual and automatic segmentations are calculated. As the experimental results, the average distance difference error and standard deviation were 1.09mm $\pm0.20mm$. And the overlapping region ratio was 92%.
Keywords
MR Image; Prostate; Segmentation; Ray; Profile; Intensity; Gradient;
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