| Presentation | 2009-05-28 Preliminary study of automated segmentation of kidney in non-contrast CT images base on position, orientation and shape features analysis Shunichi YOSHIMOTO, Xiangrong ZHOU, Huayue CHEN, Takeshi HARA, Hiroshi FUJITA, Ryujiro YOKOYAMA, Masayuki KANEMATSU, Hiroaki HOSHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The modern CT scanners have been widely used in Japan. The cases of the CT scans covering the human torso (chest and abdomen) increased recently. Such a CT volume can provide the detailed information of human organs for clinical diagnosis. This research focuses on the development of a computer-aided diagnosis system for kidney diagnosis. Kidney regions have a similar CT number distribution with the surrounding tissue regions and have a big variance in the shapes. It is difficult to segment the kidney regions in non-contrast CT images. This research investigates the features of the kidney location, orientation, and shape using 101 CT cases, and discuss the possibility to segment the kidney region based on such features. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | X-ray CT image / kidney / automated detection / ellipse model |
| Paper # | IE2009-29,PRMU2009-20,MI2009-20 |
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| Conference Information | |
| Committee | IE |
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| Conference Date | 2009/5/21(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Image Engineering (IE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Preliminary study of automated segmentation of kidney in non-contrast CT images base on position, orientation and shape features analysis |
| Sub Title (in English) | |
| Keyword(1) | X-ray CT image |
| Keyword(2) | kidney |
| Keyword(3) | automated detection |
| Keyword(4) | ellipse model |
| 1st Author's Name | Shunichi YOSHIMOTO |
| 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 | Huayue CHEN |
| 3rd Author's Affiliation | Department of Anatomy, Division of Disease Control, Gifu University Graduate School of Medicine |
| 4th Author's Name | Takeshi HARA |
| 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 | Hiroshi FUJITA |
| 5th Author's Affiliation | Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University |
| 6th Author's Name | Ryujiro YOKOYAMA |
| 6th Author's Affiliation | Department of Radiology Services, Gifu University Hospital |
| 7th Author's Name | Masayuki KANEMATSU |
| 7th Author's Affiliation | Department of Radiology Services, Gifu University Hospital:Department of Radiology, Gifu 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 | 2009-05-28 |
| Paper # | IE2009-29,PRMU2009-20,MI2009-20 |
| Volume (vol) | vol.109 |
| Number (no) | 63 |
| Page | pp.pp.- |
| #Pages | 4 |
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