| Presentation | 2007-05-24 Semi-automated Segmentation of the Femur from 3D CT Images Using Multi-Level Statistical Shape Model Futoshi YOKOTA, Ryuji SHIMADA, Toshiyuki OKADA, Yoshiyuki KAGIYAMA, Masahiko NAKAMOTO, Masaki TAKAO, Nobuhiko SUGANO, Yoshinobu SATO, Hideki YOSHIKAWA, Yukio TADA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(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 1mm when 30 points were collected. This showed a usefulness of propose method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Segmentation of the Femur / Separation and extraction / Statistical shape model fitting / Surface search / Parameter tuning |
| Paper # | PRMU2007-9,MI2007-9 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2007/5/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Pattern Recognition and Media Understanding (PRMU) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Semi-automated Segmentation of the Femur from 3D CT Images Using Multi-Level Statistical Shape Model |
| Sub Title (in English) | |
| Keyword(1) | Segmentation of the Femur |
| Keyword(2) | Separation and extraction |
| Keyword(3) | Statistical shape model fitting |
| Keyword(4) | Surface search |
| Keyword(5) | Parameter tuning |
| 1st Author's Name | Futoshi YOKOTA |
| 1st Author's Affiliation | Kobe University Graduate School of Engineering() |
| 2nd Author's Name | Ryuji SHIMADA |
| 2nd Author's Affiliation | Osaka University Graduate School of Information Science and Technology |
| 3rd Author's Name | Toshiyuki OKADA |
| 3rd Author's Affiliation | Osaka University Graduate School of Information Science and Technology:Osaka University Graduate School of Medicine |
| 4th Author's Name | Yoshiyuki KAGIYAMA |
| 4th Author's Affiliation | Kobe University Graduate School of Engineering |
| 5th Author's Name | Masahiko NAKAMOTO |
| 5th Author's Affiliation | Osaka University Graduate School of Medicine:Osaka University Graduate School of Information Science and Technology |
| 6th Author's Name | Masaki TAKAO |
| 6th Author's Affiliation | Osaka Koseinenkin Hospital |
| 7th Author's Name | Nobuhiko SUGANO |
| 7th Author's Affiliation | Osaka University Graduate School of Medicine |
| 8th Author's Name | Yoshinobu SATO |
| 8th Author's Affiliation | Osaka University Graduate School of Medicine:Osaka University Graduate School of Information Science and Technology |
| 9th Author's Name | Hideki YOSHIKAWA |
| 9th Author's Affiliation | Osaka University Graduate School of Medicine |
| 10th Author's Name | Yukio TADA |
| 10th Author's Affiliation | Kobe University Graduate School of Engineering |
| Date | 2007-05-24 |
| Paper # | PRMU2007-9,MI2007-9 |
| Volume (vol) | vol.107 |
| Number (no) | 57 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |