Segmentation of the fractured foot CT image: a fuzzy-rule-based approach

Shoji Hirano; Yutaka Hata; Nobuyuki Matsui; Yoshiro Ando; Makato Ishikawa

doi:10.1117/12.387749

6 June 2000 Segmentation of the fractured foot CT image: a fuzzy-rule-based approach

Shoji Hirano, Yutaka Hata, Nobuyuki Matsui, Yoshiro Ando, Makato Ishikawa

Proceedings Volume 3979, Medical Imaging 2000: Image Processing; (2000) https://doi.org/10.1117/12.387749
Event: Medical Imaging 2000, 2000, San Diego, CA, United States

Abstract

This paper presents an automated method for segmenting CT images of the fractured foot. Segmentation boundary is determined by fuzzy inference with two types of knowledge acquired from orthopedic surgeons. Knowledge of joint is used to determine the boundary of adjacent normal bones. It gives higher degree to the articular cartilage according to local structure (parallelity) and intensity distribution around a joint part. Knowledge of fragment is used to find a contact place of fragments. It evaluates Euclidian distance map (EDM) of the contact place and gives higher degree to the narrow part. Each of the knowledge is represented by fuzzy if-then rules, which can provide degrees for segmentation boundary. By evaluating the degrees in region growing process, a whole foot bone is decomposed into each of anatomically meaningful bones and fragments. An experiment was done on CT images of the subjects who have depressed fractures on their calcanei. The method could effectively give higher degrees on the essential boundary, suppressing generation of useless boundary caused by the internal cavities in the bone. Each of the normal bones and fragments were correctly segmented.

Citation Download Citation

Shoji Hirano, Yutaka Hata, Nobuyuki Matsui, Yoshiro Ando, and Makato Ishikawa "Segmentation of the fractured foot CT image: a fuzzy-rule-based approach", Proc. SPIE 3979, Medical Imaging 2000: Image Processing, (6 June 2000); https://doi.org/10.1117/12.387749

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