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Proceedings Paper

A model based method for recognizing psoas major muscles in torso CT images
Author(s): Naoki Kamiya; Xiangrong Zhou; Huayue Chen; Takeshi Hara; Ryujiro Yokoyama; Masayuki Kanematsu; Hiroaki Hoshi; Hiroshi Fujita
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Paper Abstract

In aging societies, it is important to analyze age-related hypokinesia. A psoas major muscle has many important functional capabilities such as capacity of balance and posture control. These functions can be measured by its cross sectional area (CSA), volume, and thickness. However, these values are calculated manually in the clinical situation. The purpose of our study is to propose an automated recognition method of psoas major muscles in X-ray torso CT images. The proposed recognition process involves three steps: 1) determination of anatomical points such as the origin and insertion of the psoas major muscle, 2) generation of a shape model for the psoas major muscle, and 3) recognition of the psoas major muscles by use of the shape model. The model was built using quadratic function, and was fit to the anatomical center line of psoas major muscle. The shape model was generated using 20 CT cases and tested by 20 other CT cases. The applied database consisted of 12 male and 8 female cases from the ages of 40's to 80's. The average value of Jaccard similarity coefficient (JSC) values employed in the evaluation was 0.7. Our experimental results indicated that the proposed method was effective for a volumetric analysis and could be possible to be used for a quantitative measurement of psoas major muscles in CT images.

Paper Details

Date Published: 9 March 2010
PDF: 6 pages
Proc. SPIE 7624, Medical Imaging 2010: Computer-Aided Diagnosis, 76241X (9 March 2010); doi: 10.1117/12.843758
Show Author Affiliations
Naoki Kamiya, Gifu Univ. (Japan)
Xiangrong Zhou, Gifu Univ. (Japan)
Huayue Chen, Gifu Univ. (Japan)
Takeshi Hara, Gifu Univ. (Japan)
Ryujiro Yokoyama, Gifu Univ. Hospital (Japan)
Masayuki Kanematsu, Gifu Univ. Hospital (Japan)
Hiroaki Hoshi, Gifu Univ. (Japan)
Hiroshi Fujita, Gifu Univ. (Japan)


Published in SPIE Proceedings Vol. 7624:
Medical Imaging 2010: Computer-Aided Diagnosis
Nico Karssemeijer; Ronald M. Summers, Editor(s)

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