| Presentation | 2009-05-29 Development and performance evaluation of automatic segmentation method of cerebral arteries in MRA images by use of large image database Tatsunori ASANO, Yoshikazu UCHIYAMA, Ryujiro YOKOYAMA, Takeshi HARA, Hiroshi FUJITA, Toru IWAMA, Hiroaki HOSHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Computer-aided diagnosis (CAD) schemes for the detection of cerebrovascular diseases such as unruptured aneurysm and stenosis have been developed. The accurate segmentation of cerebral arteries in MRA images is an essential component of these CAD schemes. The purpose of this study is to develop a computerized method for segmenting cerebral arteries. For the segmentation of the cerebral arteries, we first used a gray level transformation to calibrate voxel values. To adjust variations in the positioning of patients, registration was subsequently employed to maximize the overlapping of the cerebral arteries in the target image and reference image. The cerebral arteries were then segmented from the background using gray level thresholding and region growing techniques. Finally, rule-based schemes with image features such as size, shape, and anatomical location were employed to distinguish between cerebral arteries and false positives. Our method was applied to 876 clinical cases. The result of subjective evaluation indicated that 98.1% of the cases achieved acceptable segmentation results. In addition, the objective evaluation which measures the overlap between the computer segmentation and manual segmentation indicated that the overlap of the randomly selected 50 cases was 0.869. Therefore, our computerized method would be useful in CAD schemes for the segmentation of the cerebral arteries in MRA images. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Magnetic resonance angiography / Large image database / Vessel segmentation / Computer-aided diagnosis |
| Paper # | IE2009-34,PRMU2009-25,MI2009-25 |
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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) | Development and performance evaluation of automatic segmentation method of cerebral arteries in MRA images by use of large image database |
| Sub Title (in English) | |
| Keyword(1) | Magnetic resonance angiography |
| Keyword(2) | Large image database |
| Keyword(3) | Vessel segmentation |
| Keyword(4) | Computer-aided diagnosis |
| 1st Author's Name | Tatsunori ASANO |
| 1st Author's Affiliation | Department of Intelligent Image Information, Graduate School of Medicine, Gifu University() |
| 2nd Author's Name | Yoshikazu UCHIYAMA |
| 2nd Author's Affiliation | Department of Biomedical informatics, Graduate School of Medicine, Gifu University |
| 3rd Author's Name | Ryujiro YOKOYAMA |
| 3rd Author's Affiliation | Department of Intelligent Image Information, Graduate School of Medicine, Gifu University |
| 4th Author's Name | Takeshi HARA |
| 4th Author's Affiliation | Department of Intelligent Image Information, Graduate School of Medicine, Gifu University |
| 5th Author's Name | Hiroshi FUJITA |
| 5th Author's Affiliation | Department of Intelligent Image Information, Graduate School of Medicine, Gifu University |
| 6th Author's Name | Toru IWAMA |
| 6th Author's Affiliation | Department of Neurosurgery, Graduate School of Medicine, Gifu University |
| 7th Author's Name | Hiroaki HOSHI |
| 7th Author's Affiliation | Department of Radiology, Graduate School of Medicine, Gifu University |
| Date | 2009-05-29 |
| Paper # | IE2009-34,PRMU2009-25,MI2009-25 |
| Volume (vol) | vol.109 |
| Number (no) | 63 |
| Page | pp.pp.- |
| #Pages | 5 |
| Date of Issue | |