| Presentation | 2012-01-19 Construction of the statistical shape models and its performance evaluation for the 3D torso organs using the MDL method Shotaro YAMAGUCHI, Xiangrong ZHOU, Rui XU, Takeshi HARA, Ryujiro YOKOYAMA, Masayuki KANEMATSU, Hiroaki HOSHI, Shoji KIDO, Hiroshi FUJITA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The extraction of the object organ areas is needed by the development of the computer-aided diagnosis system to assist the change to a morbid state detection in each organ, and the statistical shape models are used as a useful technique for the organs extraction. In this study, the statistical shape model with the torso organs is constructed, and the performance is evaluated. The MDL (minimum description length) method is used for construction of the statistical shape models. The statistical shape models with heart, liver, spleen, and right and left kidneys were constructed with the data of Gifu University Hospital, and were evaluated by using three items (Compactness, Generalization, and Specification) representing model performance. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | CT image / statistical shape model / torso / heart / liver / spleen / kidney |
| Paper # | MI2011-94 |
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| Conference Information | |
| Committee | MI |
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| Conference Date | 2012/1/12(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 | Medical Imaging (MI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Construction of the statistical shape models and its performance evaluation for the 3D torso organs using the MDL method |
| Sub Title (in English) | |
| Keyword(1) | CT image |
| Keyword(2) | statistical shape model |
| Keyword(3) | torso |
| Keyword(4) | heart |
| Keyword(5) | liver |
| Keyword(6) | spleen |
| Keyword(7) | kidney |
| 1st Author's Name | Shotaro YAMAGUCHI |
| 1st Author's Affiliation | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University() |
| 2nd Author's Name | Xiangrong ZHOU |
| 2nd Author's Affiliation | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University |
| 3rd Author's Name | Rui XU |
| 3rd Author's Affiliation | Department of Biomedical, Applied Medical Engineering Sciencs, Graduate School of Medicine, Yamaguchi Univercity |
| 4th Author's Name | Takeshi HARA |
| 4th Author's Affiliation | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University |
| 5th Author's Name | Ryujiro YOKOYAMA |
| 5th Author's Affiliation | Department of Radiology Services, Gifu University Hospital |
| 6th Author's Name | Masayuki KANEMATSU |
| 6th Author's Affiliation | Department of Radiology Services, Gifu University Hospital |
| 7th Author's Name | Hiroaki HOSHI |
| 7th Author's Affiliation | Department of Radiology, Division of Tumor Control, Graduate School of Medicine, Gifu University |
| 8th Author's Name | Shoji KIDO |
| 8th Author's Affiliation | Department of Biomedical, Applied Medical Engineering Sciencs, Graduate School of Medicine, Yamaguchi Univercity |
| 9th Author's Name | Hiroshi FUJITA |
| 9th Author's Affiliation | Department of Biomedical, Applied Medical Engineering Sciencs, Graduate School of Medicine, Yamaguchi Univercity |
| Date | 2012-01-19 |
| Paper # | MI2011-94 |
| Volume (vol) | vol.111 |
| Number (no) | 389 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |