| Presentation | 2013-05-24 A method for automated extraction of biliary tract from 3D abdominal contrast CT images based on local intensity structure analysis Kusuto KOGA, Yuichiro HAYASHI, Tomoaki HIROSE, Masahiro ODA, Takayuki KITASAKA, Tsuyoshi IGAMI, Masato NAGINO, Kensaku MORI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose a method for automated extraction of the biliary tract from abdominal contrast CT volumes based on local intensity structure analysis. Our method utilizes a dark linear structure enhancement (DLSE) filter based on the local intensity structure analysis of the eigenvalues of the Hessian matrix. Our method extracts the intrahepatic bile duct (IHBD) and the extrahepatic biliary tract (EHBT) separately. Firstly, we extract the IHBD region by using the DLSE filter. The DLSE filter cannot enhance the EHBT effectively because intensity value of the soft tissue in the neighborhood of the EHBT is very similar to that of the EHBT. Therefore, we generate a modified image, that is obtained by enhancing the soft tissue and biliary wall from the CT volume. Then, we extract the EHBT using DLSE filter and a region growing method from the modified image. Finally, we obtain the region of biliary tract by combining IHBD and EHBT regions. In the experiment using 16 cases of CT volumes, a medical doctor evaluated that our approach produced good results in half of the cases. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | biliary / bile duct / cholangiectasis / abdominal contrast CT images / local intensity structure analysis |
| Paper # | IE2013-18,PRMU2013-11,MI2013-11 |
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| Conference Information | |
| Committee | MI |
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| Conference Date | 2013/5/17(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) | A method for automated extraction of biliary tract from 3D abdominal contrast CT images based on local intensity structure analysis |
| Sub Title (in English) | |
| Keyword(1) | biliary |
| Keyword(2) | bile duct |
| Keyword(3) | cholangiectasis |
| Keyword(4) | abdominal contrast CT images |
| Keyword(5) | local intensity structure analysis |
| 1st Author's Name | Kusuto KOGA |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Yuichiro HAYASHI |
| 2nd Author's Affiliation | Strategy Office, Information and Communications Headquarters, Nagoya University |
| 3rd Author's Name | Tomoaki HIROSE |
| 3rd Author's Affiliation | Division of Surgical Oncology, Department of Surgery, Graduate School of Medicine, Nagoya University |
| 4th Author's Name | Masahiro ODA |
| 4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 5th Author's Name | Takayuki KITASAKA |
| 5th Author's Affiliation | School of Information Science, Aichi Institute of Technology |
| 6th Author's Name | Tsuyoshi IGAMI |
| 6th Author's Affiliation | Division of Surgical Oncology, Department of Surgery, Graduate School of Medicine, Nagoya University |
| 7th Author's Name | Masato NAGINO |
| 7th Author's Affiliation | Division of Surgical Oncology, Department of Surgery, Graduate School of Medicine, Nagoya University |
| 8th Author's Name | Kensaku MORI |
| 8th Author's Affiliation | Strategy Office, Information and Communications Headquarters, Nagoya University:Graduate School of Information Science, Nagoya University |
| Date | 2013-05-24 |
| Paper # | IE2013-18,PRMU2013-11,MI2013-11 |
| Volume (vol) | vol.113 |
| Number (no) | 64 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |