| Presentation | 2006-05-25 Construction of statistical volume model of the femur from 3D CT images Tomoki ASAKA, Toshiyuki OKADA, Yen-Wei CHEN, Masahiko NAKAMOTO, Nobuyuki SATO, Nobuhiko SUGANO, Shinichi TAMRA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Construction of a statistical model is an important issue in medical CAD (Computer Aided Diagnostics) system. To date, there are many statistical shape models have been constructed for the brain and internal organs. In this paper, we try a method for construction of statistical volume model of the femur from 3D CT images. A set of segmented the femur are used for construction of statistical volume model. Each femur is mapped into the target one by non-rigid registration and translation and rotation. Then, we divide its the femur into four parts by an anatomical feature. Principal component analysis (PCA) is used to extract the statistical features from each of them. As a result of evaluation by leave-one-out cross validation method, we got Improvement of around 20% approximate value. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | the femur / 3D CT images / Statistical Volume Model / region segmentation / principal component analysis(PCA) |
| Paper # | PRMU2006-15,MI2006-15 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2006/5/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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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) | Construction of statistical volume model of the femur from 3D CT images |
| Sub Title (in English) | |
| Keyword(1) | the femur |
| Keyword(2) | 3D CT images |
| Keyword(3) | Statistical Volume Model |
| Keyword(4) | region segmentation |
| Keyword(5) | principal component analysis(PCA) |
| 1st Author's Name | Tomoki ASAKA |
| 1st Author's Affiliation | Ritsumeikan University Of Information Science and Engineering() |
| 2nd Author's Name | Toshiyuki OKADA |
| 2nd Author's Affiliation | Division of Image Analysis Department of Medical Engineering Osaka University |
| 3rd Author's Name | Yen-Wei CHEN |
| 3rd Author's Affiliation | Division of Image Analysis Department of Medical Engineering Osaka University |
| 4th Author's Name | Masahiko NAKAMOTO |
| 4th Author's Affiliation | Division of Image Analysis Department of Medical Engineering Osaka University |
| 5th Author's Name | Nobuyuki SATO |
| 5th Author's Affiliation | Division of Image Analysis Department of Medical Engineering Osaka University |
| 6th Author's Name | Nobuhiko SUGANO |
| 6th Author's Affiliation | Dept. Of Orthopaedic Surgery, Osaka University Graduate school of medicine |
| 7th Author's Name | Shinichi TAMRA |
| 7th Author's Affiliation | Division of Image Analysis Department of Medical Engineering Osaka University |
| Date | 2006-05-25 |
| Paper # | PRMU2006-15,MI2006-15 |
| Volume (vol) | vol.106 |
| Number (no) | 72 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |