Automated Spot Mammography for Improved Imaging of Dense Breasts

Abstract

We are developing an automated stereo spot mammography technique to improve imaging of lesions within dense breast tissue. During the fourth year of this project, our work was devoted primarily to: I) completing our observer study comparing the suspicious spot regions selected by radiologists to those detected by a computer (CAD), 2) performing a study comparing the radiologist selected regions and CAD selected regions to true regions determined by a radiologist from mammograms, biopsy images and pathology results, 3) defining the geometric requirements for the automated collimator to insure the suspicious region in a full-field digital mammogram is adequately covered with stereo spot image acquisition, and 4) obtaining our first images of a modular breast phantom that was manufactured for our spot mammography experiments. The images of the phantom showed it did not satisfy our design requirements with respect to dense regions overlapping the simulated masses, and with respect to the phantom producing an image texture similar to that of an actual mammogram. We therefore were not able to complete our planned phantom experiments. The manufacturer has promised to build us a correct phantom that we will employ in experiments during an extended year of the project.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2003
Accession Number
ADA421767

Entities

People

  • Mitchell M. Goodsitt

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Breast Cancer
  • Computer Programs
  • Computers
  • Detection
  • Detectors
  • Display Systems
  • Health Services
  • Image Processing
  • Imaging Techniques
  • Liquid Crystal Displays
  • Medical Personnel
  • Radiography
  • Three Dimensional
  • Tomography
  • X Rays

Fields of Study

  • Medicine
  • Physics

Readers

  • Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.
  • Software Engineering