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Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique
http://hdl.handle.net/10191/4980
http://hdl.handle.net/10191/4980b869fa96-1620-4e85-af04-bb946833e8e7
名前 / ファイル | ライセンス | アクション |
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20mi07-lee.pdf (2.9 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2007-09-10 | |||||
タイトル | ||||||
タイトル | Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Chest helical CT images | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | computer-aided diagnosis | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | genetic algorithm | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | pulmonary nodule | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | template matching | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Lee, Y.
× Lee, Y.× Hara, T.× Fujita, H.× Itoh, S.× Ishigaki, T. |
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著者別名 | ||||||
識別子 | 9 | |||||
識別子Scheme | WEKO | |||||
姓名 | Lee, Yongbum | |||||
姓名 | 李, 鎔範 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The purpose of this study is to develop a technique for computer-aided diagnosis (CAD) systems to detect lung nodules in helical X-ray pulmonary computed tomography (CT) images. The authors propose a novel template-matching technique based on a genetic algorithm (GA) template matching (GATM) for detecting nodules existing within the lung area; the GA was used to determine the target position in the observed image efficiently and to select an adequate template image from several reference patterns for quick template matching. In addition, a conventional template matching was employed to detect nodules existing on the lung wall area, lung wall template matching (LWTM), where semicircular models were used as reference patterns; the semicircular models were rotated according to the angle of the target point on the contour of the lung wall. After initial detecting candidates using the two template-matching methods, the authors extracted a total of 13 feature values and used them to eliminate false-positive findings. Twenty clinical cases involving a total of 557 sectional images were used in this study. 71 nodules out of 98 were correctly detected by the authors' scheme (i.e., a detection rate of about 72%), with the number of false positives at approximately 1.1/sectional image. The authors' present results show that their scheme can be regarded as a technique for CAD systems to detect nodules in helical CT pulmonary images | |||||
書誌情報 |
IEEE Transactions on Medical Imaging en : IEEE Transactions on Medical Imaging 巻 20, 号 7, p. 595-604, 発行日 2001-07 |
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出版者 | ||||||
出版者 | IEEE | |||||
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収録物識別子タイプ | ISSN | |||||
収録物識別子 | 02780062 | |||||
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収録物識別子タイプ | NCID | |||||
収録物識別子 | AA10634023 | |||||
DOI | ||||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1109/42.932744 | |||||
権利 | ||||||
権利情報 | ©(2001) IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained the IEEE. | |||||
著者版フラグ | ||||||
値 | publisher |