Accession Number:

ADA422556

Title:

Computer-Aided Characterization of Breast Masses on Volumetric Ultrasound Images: An Adjunct to Mammography

Descriptive Note:

Annual rept. 6 Sep 2002-5 Sep 2003

Corporate Author:

MICHIGAN UNIV ANN ARBOR

Personal Author(s):

Report Date:

2003-10-01

Pagination or Media Count:

62.0

Abstract:

The purpose of this project is to develop computer vision techniques for the analysis of sonographic images of breast masses, and to combine computerized sonographic and mammographic analyses. The techniques developed in this project are aimed at providing a second opinion to the radiologists in the task of making a biopsy recommendation. In the second year of the project, we have 1compared the accuracy of the classifier designed in the first year of this project to that of experienced radiologists 2 conducted studies the effect of the developed classifier on radiologists characterization of breast masses on ultrasound images and 3 investigated methods for combining computer classification methods based on ultrasound and mammogram images. Our results indicate that the accuracy of our computer classifier is similar to that of experienced breast radiologists on our data set. We have also shown that experienced radiologists can significantly pO.0O6 improve their mass characterization accuracy on sonograms when aided by our algorithm. Our results on combining computer classification methods based on ultrasound and mammogram images indicate that multi-modality computer-aided diagnosis may further improve the classification accuracy.

Subject Categories:

  • Medicine and Medical Research
  • Medical Facilities, Equipment and Supplies
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE