| Presentation | 2016-01-19 Spatiotemporal Statistical Shape Model Construction Using Weighted PCA Ryosuke Nakano, Saadia Binte Alam, Syoji Kobashi, Masakazu Morimoto, Satoru Aikawa, Akinobu Shimizu, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Statistical shape model (SSM), which represents a static organ shape, has been applied to some medical image understanding problems. To understand living human body deeply, it is desired to enhance the SSM to a temporal SSM. This paper proposes a method to construct a growing SSM, which represents temporal change of organ shape. The method is based on weighted PCA using a temporal weight function. To evaluate the proposed method, we report the experimental results for artificial data and neonatal brain shape data. The artificial data are represented by a point distribution model, and the neonatal brain shape data are represented by a level set model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Spatiotemporal statistical model / Weighted PCA / Neonatal brain shape |
| Paper # | MI2015-77 |
| 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 |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Spatiotemporal Statistical Shape Model Construction Using Weighted PCA |
| Sub Title (in English) | |
| Keyword(1) | Spatiotemporal statistical model |
| Keyword(2) | Weighted PCA |
| Keyword(3) | Neonatal brain shape |
| 1st Author's Name | Ryosuke Nakano |
| 1st Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| 2nd Author's Name | Saadia Binte Alam |
| 2nd Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| 3rd Author's Name | Syoji Kobashi |
| 3rd Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| 4th Author's Name | Masakazu Morimoto |
| 4th Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| 5th Author's Name | Satoru Aikawa |
| 5th Author's Affiliation | University of Hyogo(Univ of Hyogo) |
| 6th Author's Name | Akinobu Shimizu |
| 6th Author's Affiliation | Tokyo University of Agriculture and Technology(Tokyo Univ of Agriculture and Technology) |
| Date | 2016-01-19 |
| Paper # | MI2015-77 |
| Volume (vol) | vol.115 |
| Number (no) | MI-401 |
| Page | pp.pp.25-29(MI), |
| #Pages | 5 |
| Date of Issue | 2016-01-12 (MI) |