Improvement in automated detection of pulmonary nodules on helical x-ray CT images

Yongbum Lee; Du-Yih Tsai; Takeshi Hara; Hiroshi Fujita; Shigeki Itoh; Takeo Ishigaki

doi:10.1117/12.536162

12 May 2004 Improvement in automated detection of pulmonary nodules on helical x-ray CT images

Yongbum Lee, Du-Yih Tsai, Takeshi Hara, Hiroshi Fujita, Shigeki Itoh, Takeo Ishigaki

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.536162
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

We previously developed a scheme to automatically detect pulmonary nodules on CT images, as a part of computer-aided diagnosis (CAD) system. The proposed method consisted of two template-matching approaches based on simple models that simulate real nodules. One was a new template-matching technique based on a genetic algorithm (GA) template matching (GATM) for detecting nodules within the lung area. The other one was a conventional template matching along the lung wall [lung wall template matching (LWTM)] for detecting nodules on the lung wall. After the two template matchings, thirteen feature values were calculated and used for eliminating false positives. Twenty clinical cases involving a total of 557 sectional images were applied; 71 nodules out of 98 were correctly detected with the number of false positives at approximately 30.8/case by applying two template matchings (GATM and LWTM) and elimination process of false positives. In this study, five features were newly added, and threshold-values of our previous features were reconsidered for further eliminating false positives. As the result, the number of false positives was decreased to 5.5/case without elimination of true positives.

Citation Download Citation

Yongbum Lee, Du-Yih Tsai, Takeshi Hara, Hiroshi Fujita, Shigeki Itoh, and Takeo Ishigaki "Improvement in automated detection of pulmonary nodules on helical x-ray CT images", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.536162

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE