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Proceedings Paper

Fuzzy rule-based approach to segment the menisci regions from MR images
Author(s): Takashi Sasaki; Yutaka Hata; Yoshiro Ando; Makato Ishikawa; Hitoshi Ishikawa
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Paper Abstract

Injuries of the menisci are one of the most common internal derangement of the knee. To examine them with noninvasive, we propose an automated segmentation method of the menisci region from MR image. The method is composed of two steps based on fuzzy logic. First, we segment the cartilage region by thresholding of the intensity. We then extract the candidate region of the menisci as the region between the cartilages. Second, we segment the menisci voxels from the candidate region based on fuzzy if-then rules obtained from knowledge of location and intensity. We applied our method to five MR data sets. Three of them are the normal knees and the others are with some injuries. Quantitative evaluation by a physician shows that this method can successfully segment the menisci for the all. The generated visualizations will help medical doctor to diagnose the menisci with noninvasive.

Paper Details

Date Published: 21 May 1999
PDF: 8 pages
Proc. SPIE 3661, Medical Imaging 1999: Image Processing, (21 May 1999); doi: 10.1117/12.348580
Show Author Affiliations
Takashi Sasaki, Himeji Institute of Technology (Japan)
Yutaka Hata, Himeji Institute of Technology (Japan)
Yoshiro Ando, Ishikawa Hospital (Japan)
Makato Ishikawa, Ishikawa Hospital (Japan)
Hitoshi Ishikawa, Kobe Univ. School of Medicine (Japan)

Published in SPIE Proceedings Vol. 3661:
Medical Imaging 1999: Image Processing
Kenneth M. Hanson, Editor(s)

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