Paper Abstract and Keywords |
Presentation |
2022-01-27 09:56
Segmentation of musculoskeletal structures in supine and upright CTs towards quantitative analysis of musculoskeletal deformation in standing position Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2021-70 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Musculoskeletal models that are faithful to medical images are important for clarifying the causes of movement disorders. Since the kinematic properties of the musculoskeletal system change depending on the body position, it is desirable to create a musculoskeletal model of standing movements based on medical images scanned in the standing position. However, medical images scanned in the upright position are less common than those in the supine position, and data are limited. Therefore, the final goal of our project is to quantify musculoskeletal deformation in the upright position and predict it from the images scanned in the supine position in order to effectively use images scanned in the supine position. In this study, as a first step, we automatically segmented supine and upright CT images scanned for the same subject, and determined the segmentation accuracy and the volume change with respect to the body position. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
upright CT / muscle segmentation / musculoskeletal deformation / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 347, MI2021-70, pp. 106-110, Jan. 2022. |
Paper # |
MI2021-70 |
Date of Issue |
2022-01-18 (MI) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2021-70 |
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