Paper Abstract and Keywords |
Presentation |
2015-09-08 15:25
Study of the body cavity recognition based on TPS method for systemic skeletal muscle recognition in whole-body CT images Kosuke Ieda (Gifu Univ.), Naoki Kamiya (Aichi Pref. Univ.), Xiangrong Zhou, Megumi Yamada, Hiroki Kato (Gifu Univ.), Kagaku Azuma (University of Occupational and Environmental Health), Chisako Muramatsu, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2015-55 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
The purpose of this research is to recognize whole skeletal muscles for whole-body CT images suspected of an ALS. Therefore, by automatically recognizing the body cavity, which includes many organs, and subtracting it from the original image, we recognize the whole skeletal muscles. First, we recognize the abdominal cavity using active balloon model. Second, we improve recognition accuracy of the whole skeletal muscles by deforming the body cavity region based on the boundary of the abdominal cavity using thin-plate splines (TPS) method. Using the proposed method, whole muscle region was well recognized in 7 of 10 cases indicating the usefulness of the method as the necessary basic technologies for differentiation of ALS. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
ALS / CAD / Whole-CT image / Skeletal muscle / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 115, no. 218, MI2015-55, pp. 35-38, Sept. 2015. |
Paper # |
MI2015-55 |
Date of Issue |
2015-09-01 (MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2015-55 |
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