| Presentation | 2006-11-13 Chest MR Image Segmentation Using a Level Set Method Based on Discriminant Criteria Takeshi ZAMA, Yew KURABAYASHI, Hiroyuki YASHIMA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this report, we propose a segmentation method for chest MR image with weak edges. The proposed method is based on Fisher's discriminant analysis and level set method. We regard the contour of objects as the boundary separating regions optimally. We define speed function of level set method using discriminant criteria of discriminant analysis. Introducing a threshold which maximizes criteria into speed function, we determine the boundary of weak edges. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Level Set Method / Segmentation / Discriminant analysis / MR Image / Lung |
| Paper # | MI2006-78 |
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| Committee | MI |
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| Conference Date | 2006/11/6(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) | Chest MR Image Segmentation Using a Level Set Method Based on Discriminant Criteria |
| Sub Title (in English) | |
| Keyword(1) | Level Set Method |
| Keyword(2) | Segmentation |
| Keyword(3) | Discriminant analysis |
| Keyword(4) | MR Image |
| Keyword(5) | Lung |
| 1st Author's Name | Takeshi ZAMA |
| 1st Author's Affiliation | Faculty of Engineering, Tokyo University of Science() |
| 2nd Author's Name | Yew KURABAYASHI |
| 2nd Author's Affiliation | Faculty of Engineering, Tokyo University of Science |
| 3rd Author's Name | Hiroyuki YASHIMA |
| 3rd Author's Affiliation | Faculty of Engineering, Tokyo University of Science |
| Date | 2006-11-13 |
| Paper # | MI2006-78 |
| Volume (vol) | vol.106 |
| Number (no) | 343 |
| Page | pp.pp.- |
| #Pages | 5 |
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