| Presentation | 2007-05-24 Automated hepatic vessels extraction method using tube enhancement filter based on Hessian matrix on non-contrast torso X-ray CT images Teruhiko Kitagawa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita, Ryujiro Yokoyama, Hiroshi Kondo, Masayuki Kanematsu, Hiroaki Hoshi, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Classification of liver region of couinaud segment is significant information for computer-aided diagnosis system to localize the position of lesions in the liver region. Hepatic vessels are essential information to classify the liver region of couinaud segment however automated segmentation and classification of hepatic vessels are difficult in non-contrast CT images due to the low contrast between hepatic vessels and liver tissue. In this paper, we propose an automated extraction scheme for extracting the hepatic vessels and distinguishing the hepatic vein and use it to classify the liver region into right and left lobe. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | CAD / hepatic vessels / automated segmentation / non-contrast X-ray CT images / Hessian matrix |
| Paper # | PRMU2007-3,MI2007-3 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2007/5/17(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) | Automated hepatic vessels extraction method using tube enhancement filter based on Hessian matrix on non-contrast torso X-ray CT images |
| Sub Title (in English) | |
| Keyword(1) | CAD |
| Keyword(2) | hepatic vessels |
| Keyword(3) | automated segmentation |
| Keyword(4) | non-contrast X-ray CT images |
| Keyword(5) | Hessian matrix |
| 1st Author's Name | Teruhiko Kitagawa |
| 1st Author's Affiliation | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University() |
| 2nd Author's Name | Xiangrong Zhou |
| 2nd Author's Affiliation | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University |
| 3rd Author's Name | Takeshi Hara |
| 3rd Author's Affiliation | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University |
| 4th Author's Name | Hiroshi Fujita |
| 4th Author's Affiliation | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University |
| 5th Author's Name | Ryujiro Yokoyama |
| 5th Author's Affiliation | Department of Radiology Services, Gifu University School of Medicine and University Hospital |
| 6th Author's Name | Hiroshi Kondo |
| 6th Author's Affiliation | Department of Radiology, Gifu University School of Medicine and University Hospital |
| 7th Author's Name | Masayuki Kanematsu |
| 7th Author's Affiliation | Department of Radiology, Gifu University School of Medicine and University Hospital |
| 8th Author's Name | Hiroaki Hoshi |
| 8th Author's Affiliation | Department of Radiology, Division of Tumor Control, Graduate School of Medicine, Gifu University |
| Date | 2007-05-24 |
| Paper # | PRMU2007-3,MI2007-3 |
| Volume (vol) | vol.107 |
| Number (no) | 57 |
| Page | pp.pp.- |
| #Pages | 6 |
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