半月板機能評価のための膝関節MDCT画像からの半月板領域の抽出(一般講演,医療の将来とソフトコンピューティング)

• Published in: バイオメディカル・ファジィ・システム学会大会講演論文集 Vol. 16; pp. 111 - 114
• Main Authors: 柴沼, 均, 小橋, 昌司, 近藤, 克哉, 内田, 發三, 畑, 豊
• Format: Journal Article
• Language: Japanese
• Published: バイオメディカル・ファジィ・システム学会 2003; Biomedical Fuzzy Systems Association
• Subjects: fuzzy inference; MDCT; medical image segmentation; meniscus; representative line
• ISSN: 1345-1510; 2424-2586
• DOI: 10.24466/pacbfsa.16.0_111

Functional assessments of the meniscus assists to diagnose diseases of the knee joint. To estimate the degree of the degeneration of the injured meniscus, this paper proposes an automated method for segmenting the region of the meniscus from multidetector computed tomography (MDCT) images. The novel feature of the proposed method is that we segment the meniscus based on a fuzzy rule-based representative line finding algorithm. The representative line, which is a new concept, is a line that abstracts the position and shape of the meniscus. Experimental results on the extended and flexed knee joints for three healthy subjects show that our method found a proper representative line, and segmented the meniscus successfully.