Presentation | 2002/5/9 Development of a method for quantitative evaluation of emphysematous pulmonary disease based on high resolution 3-D chest CT images Takahisa AIGUCHI, Yuichiro HAYASHI, Kensaku MORI, Yasuhito SUENAGA, Jun-ichiro TORIWAKI, Masaki MORI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we describe a method for automated extraction of emphysematous lesions of the lung and quantitative evaluation of their distribution patterns using high resolution 3-D chest CT images. Multi detector row CT scanners enabled us to take volumetric CT images in high resolution. Most of studies of computer aided diagnosis for pulmonary emphysema detect and process low attenuation areas by using two-dimensional image processing techniques. It is strongly desired to develop a method that evaluates the state of diseases qtiantitatively by using 3-D image processing. In this report, we extract emphysematous lesions automatically using a region growing method. Distribution of detected low attenuation areas is analyzed. We applied the proposed method to eight cases of 3-D chest CT images. Experimental results showed that the method could evaluate quantitatively the distribution patterns of lesions. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | COPD / Pulmonary Emphysema / Low Attenuation Area / 3-D Image Processing / Region Growing Method / Euclidean Distance Transformation |
Paper # | PRMU2002-6 |
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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) | Development of a method for quantitative evaluation of emphysematous pulmonary disease based on high resolution 3-D chest CT images |
Sub Title (in English) | |
Keyword(1) | COPD |
Keyword(2) | Pulmonary Emphysema |
Keyword(3) | Low Attenuation Area |
Keyword(4) | 3-D Image Processing |
Keyword(5) | Region Growing Method |
Keyword(6) | Euclidean Distance Transformation |
1st Author's Name | Takahisa AIGUCHI |
1st Author's Affiliation | Graduate School of Engineering, Nagoya University() |
2nd Author's Name | Yuichiro HAYASHI |
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 | Yasuhito SUENAGA |
4th Author's Affiliation | Graduate School of Engineering, Nagoya University |
5th Author's Name | Jun-ichiro TORIWAKI |
5th Author's Affiliation | Graduate School of Engineering, Nagoya University |
6th Author's Name | Masaki MORI |
6th Author's Affiliation | Sapporo Kosei Hospital |
Date | 2002/5/9 |
Paper # | PRMU2002-6 |
Volume (vol) | vol.102 |
Number (no) | 54 |
Page | pp.pp.- |
#Pages | 6 |
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