| Presentation | 2016-01-20 Estimation of Liver Deformation Using Real-Time Nonlinear Finite Element Method by Deep Neural Network Kaoru Kobayashi, Ken'ichi Morooka, Yasushi Miyagi, Takaichi Fukuda, Tokuo Tsuji, Ryo Kurazume, Kazuhiro Samura, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a real-time nonlinear nite element method (FEM) for estimating soft tissue deformations by deep neural network (NN). When the volume model of a target human tissue is given, FE analysis simulates the behaviors of the tissue by using the displacement and force of each node in the volume model. Considering the analysis, one NN for each node is constructed by a large number of the deformation patterns derived from FE analysis. The proposed system consists of the large scale deep NN integrated by the networks of all thenodes. From our experiments, our method can predict the reliable behavior of the node in real-time. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Soft tissue deformation / Nonlinear deformation / Finite element method / Deep learning |
| Paper # | MI2015-138 |
| Date of Issue | 2016-01-12 (MI) |
| Conference Information | |
| Committee | MI |
|---|---|
| Conference Date | 2016/1/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Bunka Tenbusu Kan |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | General topics in medical imaging |
| Chair | Yoshitaka Masutani(Hiroshima City Univ.) |
| Vice Chair | Yoshiki Kawata(Tokushima Univ.) / Yuichi Kimura(Kinki Univ.) |
| Secretary | Yoshiki Kawata(Aichi Inst. of Tech.) / Yuichi Kimura(Nagoya Inst. of Tech.) |
| Assistant | Ryo Haraguchi(NCVC) / Yasushi Hirano(Yamaguchi Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Medical Imaging |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Estimation of Liver Deformation Using Real-Time Nonlinear Finite Element Method by Deep Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Soft tissue deformation |
| Keyword(2) | Nonlinear deformation |
| Keyword(3) | Finite element method |
| Keyword(4) | Deep learning |
| 1st Author's Name | Kaoru Kobayashi |
| 1st Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 2nd Author's Name | Ken'ichi Morooka |
| 2nd Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 3rd Author's Name | Yasushi Miyagi |
| 3rd Author's Affiliation | Kaizuka Hospital(Kaizuka Hospital) |
| 4th Author's Name | Takaichi Fukuda |
| 4th Author's Affiliation | Kumamoto University(Kumamoto Univ.) |
| 5th Author's Name | Tokuo Tsuji |
| 5th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 6th Author's Name | Ryo Kurazume |
| 6th Author's Affiliation | Kyushu University(Kyushu Univ.) |
| 7th Author's Name | Kazuhiro Samura |
| 7th Author's Affiliation | Fukuoka University(Fukuoka Univ.) |
| Date | 2016-01-20 |
| Paper # | MI2015-138 |
| Volume (vol) | vol.115 |
| Number (no) | MI-401 |
| Page | pp.pp.321-325(MI), |
| #Pages | 5 |
| Date of Issue | 2016-01-12 (MI) |