| Presentation | 2003/5/22 Automated extraction of aorta regions from 3D abdominal X-ray CT images using anatomical knowledge Takayuki KITASAKA, Hirofumi OGAWA, Kensaku MORI, Yoshito MEKADA, Yasuhito SUENAGA, Jun-ichi HASEGAWA, Jun-ichiro TORIWAKl, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper describes a method for automated extraction of aorta regions from 3D abdominal X-ray CT images using anatomical knowledge. We have developed the method for automated extraction of aorta regions, based on the shape recovery technique by the distance and the reverse distance transformations. However, in the case that the intensity contrast between abdominal organs and the aorta is low, mis-segmentation of other organs occurs in the shape modification process. The proposed method uses the Hough transformation in addition to the distance transformation to extract a medial line of the aorta. Also it uses the variance of CT values of recovered aorta region to prevent mis-segmentations. The proposed method is applied to twenty two cases of 3D abdominal X-ray CT images. The extraction results showed that aorta regions could be extracted satisfactorily and stably. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | abdominal X-ray CT image / aorta / medial line / Euclidean distance transformation / Hough transformation |
| Paper # | PRMU2003-10 |
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| Conference Information | |
| Committee | PRMU |
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| Conference Date | 2003/5/22(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 extraction of aorta regions from 3D abdominal X-ray CT images using anatomical knowledge |
| Sub Title (in English) | |
| Keyword(1) | abdominal X-ray CT image |
| Keyword(2) | aorta |
| Keyword(3) | medial line |
| Keyword(4) | Euclidean distance transformation |
| Keyword(5) | Hough transformation |
| 1st Author's Name | Takayuki KITASAKA |
| 1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
| 2nd Author's Name | Hirofumi OGAWA |
| 2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 3rd Author's Name | Kensaku MORI |
| 3rd Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 4th Author's Name | Yoshito MEKADA |
| 4th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 5th Author's Name | Yasuhito SUENAGA |
| 5th Author's Affiliation | Graduate School of Information Science, Nagoya University |
| 6th Author's Name | Jun-ichi HASEGAWA |
| 6th Author's Affiliation | School of Cognitive and Computer Sciences, Chukyo University |
| 7th Author's Name | Jun-ichiro TORIWAKl |
| 7th Author's Affiliation | School of Cognitive and Computer Sciences, Chukyo University |
| Date | 2003/5/22 |
| Paper # | PRMU2003-10 |
| Volume (vol) | vol.103 |
| Number (no) | 95 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |