Paper Abstract and Keywords |
Presentation |
2023-03-06 14:07
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2022-84 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Musculoskeletal modeling of the whole lower limbs that reflects patient-specific anatomical features is important in biomechanical simulation, surgical planning, and prognosis prediction. We have constructed a whole lower limbs SSM that combines 62 musculoskeletal structures, including the skin surface, in 668 patients with hip osteoarthritis. In this study, we report the results of experiments in which the three-dimensional musculoskeletal shape of the patient's lower extremity was recovered from a CT image of the hip and thigh regions and a plain X-ray image from one direction. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Musculoskeletal shape recovery / Statistical shape model / 2D-3D registration / Hip Osteoarthritis / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 417, MI2022-84, pp. 57-62, March 2023. |
Paper # |
MI2022-84 |
Date of Issue |
2023-02-27 (MI) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MI2022-84 |
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