Preprocessing for improving CAD scheme performance for microcalcification detection based on mammography imaging quality parameters

Homero Schiabel; Marcelo A. C. Vieira; Liliane Ventura

doi:10.1117/12.812015

3 March 2009 Preprocessing for improving CAD scheme performance for microcalcification detection based on mammography imaging quality parameters

Homero Schiabel, Marcelo A. C. Vieira, Liliane Ventura

Author Affiliations +

Proceedings Volume 7260, Medical Imaging 2009: Computer-Aided Diagnosis; 72602G (2009) https://doi.org/10.1117/12.812015
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Database characteristics can affect significantly the performance of a mammography CAD scheme. Hence adequate performance comparison among different CAD schemes is not suitable since a single scheme could present different results depending on the set of chosen cases. Images in database should follow a set of quality criteria, since the imaging process up to digital file. CAD schemes can not be developed without a database used to test their efficacy, but each database with particular characteristics may influence on the processing scheme performance. A possible solution could be using information on the imaging equipment characteristics. This work describes a preprocessing in order to "compensate" the image degradation during the acquisition steps, assuring a better "uniformity" relative to the images quality. Thus, poor quality images would be restored, providing therefore some independence on the images source to CAD schemes and allowing to reach the better possible performance. Tests performed with mammography images sets reported a 14% increase in sensitivity for microcalcifications detection. Although this result was followed by a little increase in false positive rates, simple changes in techniques parameters can provide the same improvement but with a reduction of the false positive detections.

Citation Download Citation

Homero Schiabel, Marcelo A. C. Vieira, and Liliane Ventura "Preprocessing for improving CAD scheme performance for microcalcification detection based on mammography imaging quality parameters", Proc. SPIE 7260, Medical Imaging 2009: Computer-Aided Diagnosis, 72602G (3 March 2009); https://doi.org/10.1117/12.812015

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