Paper Abstract and Keywords |
Presentation |
2007-05-24 11:40
Semi-automated Segmentation of the Femur from 3D CT Images Using Multi-Level Statistical Shape Model Futoshi Yokota (Kobe Univ.), Ryuji Shimada, Toshiyuki Okada (Osaka Univ.), Yoshiyuki Kagiyama (Kobe Univ.), Masahiko Nakamoto (Osaka Univ.), Masaki Takao (Osaka Koseinenkin Hospital), Nobuhiko Sugano, Yoshinobu Sato, Hideki Yoshikawa (Osaka Univ.), Yukio Tada (Kobe Univ.) PRMU2007-9 MI2007-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
We have been developed automated preoperative planning system for total hip arthrorplasty. One problem in preprocessing of input data is to reconstruct segmented bone models, as most part of the process depend on manual operation and take amount of time. In this paper, we describe semi-automated segmentation method of femur from 3D-CT images using multi-level statistical shape model. We use manually collected points of femoral head surface to estimate anatomical structure of femoral head. We applied this method to 22 cases and confirmed mean error is about 1 mm when 30 points were collected. This showed a usefulness of propose method. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Femur segmentation / Statistical shape model fitting / Intensity profile analysis / Parameter tuning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 107, no. 58, MI2007-9, pp. 47-52, May 2007. |
Paper # |
MI2007-9 |
Date of Issue |
2007-05-17 (PRMU, MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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PRMU2007-9 MI2007-9 |
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