Paper Abstract and Keywords |
Presentation |
2012-05-17 15:30
An experimental study for automated training datasets generation in automated 3D planning in total hip arthroplasty Yuki Nakanishi (Kobe Univ.), Yoshiyuki Kagiyama (Univ. of Yamanashi), Itaru Otomaru, Futoshi Yokota (Kobe Univ.), Masahiko Nakamoto, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yukio Tada (Kobe Univ.), Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) IE2012-24 PRMU2012-9 MI2012-9 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this paper, we describe methods for automated bone segmentation and THA planning. The automated planning is formulated as maximum a posterior (MAP) estimation with statistical atlases of implants, bone models, joint functionalities which are modeled with training datasets prepared by an experienced surgeon. In the experiment, we performed the evaluation of the proposed method and obtained a result that there was no significance between the proposed method and surgeon's plans. We considered this showed a potential usefulness of our method with automated segmentation. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
total hip replacement / statistical model / automatic segmentation / preoperative planning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 38, MI2012-9, pp. 45-50, May 2012. |
Paper # |
MI2012-9 |
Date of Issue |
2012-05-10 (IE, PRMU, MI) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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IE2012-24 PRMU2012-9 MI2012-9 |
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