Development of an automated detection system for microcalcifications on mammograms by using the higher-order autocorrelation features

Yoshitaka Ohe; Norimitsu Shinohara; Takeshi Hara; Hiroshi Fujita; Tokiko Endo; Takuji Iwase

doi:10.1117/12.536847

12 May 2004 Development of an automated detection system for microcalcifications on mammograms by using the higher-order autocorrelation features

Yoshitaka Ohe, Norimitsu Shinohara, Takeshi Hara, Hiroshi Fujita, Tokiko Endo, Takuji Iwase

Author Affiliations +

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.536847
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

The purpose of this work is to develop a new pattern recognition method using the higher-order autocorrelation features (HOAFs), and to apply this to our microcalcification detection system on mammographic images. Microcalcification is a typical sign of breast cancer and tends to show up as very subtle shadows. We developed a triple-ring filter for detecting microcalcifications, and the prototype detection system is nearly complete. However, our prototype system does not allow for the detection of three types of microcalcifications, two of which are amorphous and linear microcalcifications and the third is obscured microcalcifications which is often confused with the background or circumference that have almost the same density. We targeted the amorphous type of microcalcification, which has a low contrast and easily goes undetected. The various features of microcalcifications and false-positive (FP) shadows were extracted and trained using the multi-regression analysis, and unknown images were recognized as a result of this training. As a result, amorphous microcalcifications were successfully detected with no increase in the number of FPs compared with our existing detection method.

Citation Download Citation

Yoshitaka Ohe, Norimitsu Shinohara, Takeshi Hara, Hiroshi Fujita, Tokiko Endo, and Takuji Iwase "Development of an automated detection system for microcalcifications on mammograms by using the higher-order autocorrelation features", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.536847

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

Includes PDF, HTML & Video, when available