Presentation | 2002/5/9 A method for automated extraction of the aorta area from 3D abdominal X-ray CT images without contrast medium by using edge information Hirofumi OGAWA, Takayuki KITASAKA, Kensaku MORI, Jui-ichi HASEGAWA, Junichiro TORIWAKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We have already developed a method for extracting aorta areas in abdominal CT images. In this method the region growing method was used. However mis-extraction was caused when aorta touched other organs extensively. Here we propose a new method for extraction of aorta areas to reduce the mis-extraction areas. The edge information and the medial line of the aorta are used in the proposed method. First, the minimum distance from the edge areas is calculated at each voxel. The obtained image is called the distance image. The spine area is also extracted to determine the position of the aorta using the anatomical relationship between spines and aortas. Second, the medial line of the aorta is extracted by tracing local maxima of the distance image using the position of the aorta obtained above. Finally, the aorta area is extracted by applying the reverse Euclidean distance transformation to voxels on the medial line. We applied the proposed method to eleven 3D abdominal X-ray CT images without the contrast medium, and showed that proper aorta areas were obtained. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | 3D abdominal X-ray CT image / aorta / Euclidean distance transformation / spine / 3D image processing |
Paper # | PRMU2002-2 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2002/5/9(1days) |
Place (in Japanese) | (See Japanese page) |
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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) | A method for automated extraction of the aorta area from 3D abdominal X-ray CT images without contrast medium by using edge information |
Sub Title (in English) | |
Keyword(1) | 3D abdominal X-ray CT image |
Keyword(2) | aorta |
Keyword(3) | Euclidean distance transformation |
Keyword(4) | spine |
Keyword(5) | 3D image processing |
1st Author's Name | Hirofumi OGAWA |
1st Author's Affiliation | Graduate School of Engineering, Nagoya University() |
2nd Author's Name | Takayuki KITASAKA |
2nd Author's Affiliation | Graduate School of Engineering, Nagoya University |
3rd Author's Name | Kensaku MORI |
3rd Author's Affiliation | Research center for Advanced Waste and Emission Management, Nagoya University |
4th Author's Name | Jui-ichi HASEGAWA |
4th Author's Affiliation | School of computer and Congnitive Sciences, Chukyo University |
5th Author's Name | Junichiro TORIWAKI |
5th Author's Affiliation | Graduate School of Engineering, Nagoya University |
Date | 2002/5/9 |
Paper # | PRMU2002-2 |
Volume (vol) | vol.102 |
Number (no) | 54 |
Page | pp.pp.- |
#Pages | 6 |
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