| Presentation | 2020-01-29 Landmark detection of pelvis and femur for preoperative planning of total hip replacement using CNN Yuki Nakanishi, Yoshito Otake, Masaki Takao, Nobuhiko Sugano, Yuta Hiasa, Yoshiyuki Kagiyama, Toshiya Kaihara, Yoshinobu Sato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have developed an automated preoperative planning system for total hip replacement. This system requires quantitative evaluation of hip joint functions. We need to automate anatomical landmark detection because the anatomical landmarks are used for the simulations of the hip joint functions, for examples, leg length discrepancy and range of motion. In this study, we apply CNN-based heatmap regression to the anatomical landmark detection. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | hip joint / anatomical landmark / convolutional neural network / heatmap regression |
| Paper # | MI2019-93 |
| Date of Issue | 2020-01-22 (MI) |
| Conference Information | |
| Committee | MI |
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| Conference Date | 2020/1/29(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OKINAWAKEN SEINENKAIKAN |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Medical Image Engineering, Analysis, Recognition, etc. |
| Chair | Yoshiki Kawata(Tokushima Univ.) |
| Vice Chair | Takayuki Kitasaka(Aichi Inst. of Tech.) / Hidekata Hontani(Nagoya Inst. of Tech.) |
| Secretary | Takayuki Kitasaka(Yamaguchi Univ.) / Hidekata Hontani(Univ. of Hyogo) |
| Assistant | Hotaka Takizawa(Tsukuba Univ.) / Yoshito Otake(NAIST) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Landmark detection of pelvis and femur for preoperative planning of total hip replacement using CNN |
| Sub Title (in English) | |
| Keyword(1) | hip joint |
| Keyword(2) | anatomical landmark |
| Keyword(3) | convolutional neural network |
| Keyword(4) | heatmap regression |
| 1st Author's Name | Yuki Nakanishi |
| 1st Author's Affiliation | Kobe University(Kobe Univ.) |
| 2nd Author's Name | Yoshito Otake |
| 2nd Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| 3rd Author's Name | Masaki Takao |
| 3rd Author's Affiliation | Osaka University(Osaka Univ.) |
| 4th Author's Name | Nobuhiko Sugano |
| 4th Author's Affiliation | Osaka University(Osaka Univ.) |
| 5th Author's Name | Yuta Hiasa |
| 5th Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| 6th Author's Name | Yoshiyuki Kagiyama |
| 6th Author's Affiliation | University of Yamanashi(Univ. of Yamanashi) |
| 7th Author's Name | Toshiya Kaihara |
| 7th Author's Affiliation | Kobe University(Kobe Univ.) |
| 8th Author's Name | Yoshinobu Sato |
| 8th Author's Affiliation | Nara Institute of Science and Technology(NAIST) |
| Date | 2020-01-29 |
| Paper # | MI2019-93 |
| Volume (vol) | vol.119 |
| Number (no) | MI-399 |
| Page | pp.pp.125-127(MI), |
| #Pages | 3 |
| Date of Issue | 2020-01-22 (MI) |