Detection of breast asymmetry using anatomical features

Peter Miller; Susan M. Astley

doi:10.1117/12.148656

29 July 1993 Detection of breast asymmetry using anatomical features

Peter Miller, Susan M. Astley

Proceedings Volume 1905, Biomedical Image Processing and Biomedical Visualization; (1993) https://doi.org/10.1117/12.148656
Event: IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United States

Abstract

We present a new approach to the detection of breast asymmetry, an important radiological sign of cancer. The conventional approach to this problem is to search for brightness or texture differences between corresponding locations on left and right breast images. Due to the difficulty in accurately identifying corresponding locations, asymmetry cues generated in this way are insufficiently specific to be used as prompts for small and subtle abnormalities in a computer-aided diagnosis system. We have undertaken studies to discover more about the visual cues utilized by radiologists. We propose a new automatic method for detecting asymmetry based on the comparison of corresponding anatomical structures, which are identified by an automatic segmentation of breast tissue types. We describe a number of methods for comparing the shape and grey-level distribution of these regions, and we have achieved promising results by combining evidence for asymmetry.

Citation Download Citation

Peter Miller and Susan M. Astley "Detection of breast asymmetry using anatomical features", Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); https://doi.org/10.1117/12.148656

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