| Presentation | 2011-01-20 Organ segmentation from 3D abdominal CT images using likelihood atlas of organ existence and graph cut Teruhisa NAKAOKA, Masahiro ODA, Takayuki KITASAKA, Kazuhiro FURUKAWA, Kazunari MISAWA, Michitaka FUJIWARA, Kensaku MORI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a multi organ segmentation method from 3D abdominal CT images. In our method, we extract organs using multiple likelihood atlases of the organ existence, instead of single atlas. In our method, first we apply a clustering method to training image datasets based on image similarity. We generate average images and atlases for each cluster. When an input image is given, we select an atlas that has the maximum image similarity between the average image and the input image. We use the selected atlas to extract organs. Then, we extract multi organs roughly by the MAP estimation from the selected atlas and the input image. Finally, we perform precise segmentation by using a multi label graph cut. We apply this method to 100 cases of abdominal CT images. Jaccard indices were 88.6% for liver, 73.9% for spleen, 42.0% for pancreas, and 79.8% for kidney, respectively. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | segmentation / abdominal CT image / graph cut / multi-atlas |
| Paper # | MI2010-123 |
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| Conference Information | |
| Committee | MI |
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| Conference Date | 2011/1/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | 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) | Organ segmentation from 3D abdominal CT images using likelihood atlas of organ existence and graph cut |
| Sub Title (in English) | |
| Keyword(1) | segmentation |
| Keyword(2) | abdominal CT image |
| Keyword(3) | graph cut |
| Keyword(4) | multi-atlas |
| 1st Author's Name | Teruhisa NAKAOKA |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Masahiro ODA |
| 2nd Author's Affiliation | Information Planning Office, Information and Communications Headquarters, Nagoya University |
| 3rd Author's Name | Takayuki KITASAKA |
| 3rd Author's Affiliation | School of Information Science, Aichi Institute of Technology |
| 4th Author's Name | Kazuhiro FURUKAWA |
| 4th Author's Affiliation | Graduate School of Medicine, Nagoya University |
| 5th Author's Name | Kazunari MISAWA |
| 5th Author's Affiliation | Aichi Cancer Center |
| 6th Author's Name | Michitaka FUJIWARA |
| 6th Author's Affiliation | Graduate School of Medicine, Nagoya University |
| 7th Author's Name | Kensaku MORI |
| 7th Author's Affiliation | Information Planning Office, Information and Communications Headquarters, Nagoya University:Graduate School of Information Science, Nagoya University |
| Date | 2011-01-20 |
| Paper # | MI2010-123 |
| Volume (vol) | vol.110 |
| Number (no) | 364 |
| Page | pp.pp.- |
| #Pages | 6 |
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