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http://dx.doi.org/10.9717/kmms.2011.14.3.348

Automatic prostate segmentation method on dynamic MR images using non-rigid registration and subtraction method  

Lee, Jeong-Jin (가톨릭대학교 디지털미디어학부)
Lee, Ho (스탠포드대학교 방사선종양학과)
Kim, Jeong-Kon (울산대학교 의과대학 영상의학과)
Lee, Chang-Kyung (울산대학교 의학과 의과학)
Shin, Yeong-Gil (서울대학교 컴퓨터공학부)
Lee, Yoon-Chul (서울장신대학교)
Lee, Min-Sun (선문대학교 통합의학대학원)
Publication Information
Journal of Korea Multimedia Society / v.14, no.3, 2011 , pp. 348-355 More about this Journal
Abstract
In this paper, we propose an automatic prostate segmentation method from dynamic magnetic resonance (MR) images. Our method detects contrast-enhanced images among the dynamic MR images using an average intensity analysis. Then, the candidate regions of prostate are detected by the B-spline non-rigid registration and subtraction between the pre-contrast and contrast-enhanced MR images. Finally, the prostate is segmented by performing a dilation operation outward, and sequential shape propagation inward. Our method was validated by ten data sets and the results were compared with the manually segmented results. The average volumetric overlap error was 6.8%, and average absolute volumetric measurement error was 2.5%. Our method could be used for the computer-aided prostate diagnosis, which requires an accurate prostate segmentation.
Keywords
Prostate Segmentation; Non-Rigid registration; Subtraction; Shape Propagation; Dynamic MR Images;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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