| Presentation | 2011-05-19 Improvement of automated detection for anatomical landmarks within medical images : Increasing detection performance for soft tissue related landmarks Mitsutaka NEMOTO, Yoshitaka MASUTANI, Shouhei HANAOKA, Yukihiro NOMURA, Takeharu YOSHIKAWA, Naoto HAYASHI, Naoki YOSHIOKA, Kuni OHTOMO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Anatomical landmark (ALM) is an unique local structure which can play a key role for medical image understanding. We had proposed the ALM detection method which includes three steps; (1) candidate detection by appearance matching, (2) elimination of false positive candidates, and (3) selection of the optimal candidate combination. But the detection performance for soft tissue related ALMs which are susceptible to deformation and shifting was insufficient. In this study, a parameter optimization method for the appearance models is proposed in order to increase detection performance of the soft tissue ALMs. The detection performances by the parameter optimized appearance models are evaluated experimentally. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Anatomical landmarks / Appearance model / Principal Component Analysis / Eigen residue vector |
| Paper # | IE2011-16,PRMU2011-8,MI2011-8 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2011/5/12(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) | Improvement of automated detection for anatomical landmarks within medical images : Increasing detection performance for soft tissue related landmarks |
| Sub Title (in English) | |
| Keyword(1) | Anatomical landmarks |
| Keyword(2) | Appearance model |
| Keyword(3) | Principal Component Analysis |
| Keyword(4) | Eigen residue vector |
| 1st Author's Name | Mitsutaka NEMOTO |
| 1st Author's Affiliation | Dept. of Radiology, The Univ. of Tokyo Hospital() |
| 2nd Author's Name | Yoshitaka MASUTANI |
| 2nd Author's Affiliation | Dept. of Radiology, The Univ. of Tokyo Hospital:Div. of Radiology, and Biomedical Engineering, Graduate School of Medicine, The Univ. of Tokyo |
| 3rd Author's Name | Shouhei HANAOKA |
| 3rd Author's Affiliation | Dept. of Radiology, The Univ. of Tokyo Hospital |
| 4th Author's Name | Yukihiro NOMURA |
| 4th Author's Affiliation | Div. of Radiology, and Biomedical Engineering, Graduate School of Medicine, The Univ. of Tokyo |
| 5th Author's Name | Takeharu YOSHIKAWA |
| 5th Author's Affiliation | Dept. of Computational Diagnostic Radiology and Preventive Medicine, The Univ. of Tokyo Hospital |
| 6th Author's Name | Naoto HAYASHI |
| 6th Author's Affiliation | Dept. of Computational Diagnostic Radiology and Preventive Medicine, The Univ. of Tokyo Hospital |
| 7th Author's Name | Naoki YOSHIOKA |
| 7th Author's Affiliation | Dept. of Integrated Imaging Informatics, The Univ. of Tokyo Hospital |
| 8th Author's Name | Kuni OHTOMO |
| 8th Author's Affiliation | Dept. of Radiology, The Univ. of Tokyo Hospital:Div. of Radiology, and Biomedical Engineering, Graduate School of Medicine, The Univ. of Tokyo |
| Date | 2011-05-19 |
| Paper # | IE2011-16,PRMU2011-8,MI2011-8 |
| Volume (vol) | vol.111 |
| Number (no) | 48 |
| Page | pp.pp.- |
| #Pages | 6 |
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