書誌事項
- タイトル別名
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- Development of a Method for Quantitative Evaluation of Chronic ObstructivePulmonary Disease Based on 3-D CT Images
- 3ジゲン CTゾウ ニ モトヅク マンセイ ヘイソクセイ ハイ シッカン ノ テイリョウ ヒョウカ シュホウ ノ カイハツ
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抄録
This paper presents a method for the automated extraction of emphysematous lesions and quantitative evaluation of their distribution patterns using three-dimensional (3-D) CT images. Multi-detector row CT scanners enabled us to obtain volumetric CT images at high resolution. Most of studies of computer-aided diagnosis for pulmonary emphysema process and analyze low attenuation areas in CT images using two-dimensional image processing techniques. Few studies have used three-dimensional image processing techniques. It is possible to obtain the spatial distribution of emphysematous lesions by 3-D image processing techniques. We studied here the application of computer-aided diagnosis for pulmonary emphysema using 3-D image processing techniques. We extracted emphysematous lesions automatically using a region growing method. In order to analyze the distribution of the low attenuation areas detected, we examined the relation between emphysematous lesions and bronchi or blood vessels using Euclidean distance transformation or lung dividing. We applied the proposed method to real 3-D X-ray CT images. Experimental results showed that the method could extract emphysematous lesions and quantitatively evaluate the distribution patterns of the lesions.
収録刊行物
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- 生体医工学
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生体医工学 41 (3), 187-196, 2003
公益社団法人 日本生体医工学会
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詳細情報 詳細情報について
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- CRID
- 1390001205266486528
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- NII論文ID
- 130004266009
- 110003988482
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- NII書誌ID
- AA11633569
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- ISSN
- 18814379
- 1347443X
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- NDL書誌ID
- 6757558
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可