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10 学術雑誌論文 = Journal Article >
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Title :Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique
Authors :Lee, Y.
Hara, T.
Fujita, H.
Itoh, S.
Ishigaki, T.
Publisher :IEEE
Issue Date :2001
Journal Title :IEEE Transactions on Medical Imaging
Volume :20
Issue :7
Start Page :595
End Page :604
ISSN :0278-0062
Description :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
Keywords :Chest helical CT images
computer-aided diagnosis
genetic algorithm
pulmonary nodule
template matching
Type Local :学術雑誌論文
Language :eng
URI :http://hdl.handle.net/10191/4980
fullTextURL :http://dspace.lib.niigata-u.ac.jp/dspace/bitstream/10191/4980/1/20mi07-lee.pdf
DOI :info:doi/10.1109/42.932744
Rights :©(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.
Appears in Collections:10 査読済論文 = Postprint

Please use this identifier to cite or link to this item: http://hdl.handle.net/10191/4980