3-Dimensional Imaging of the Breast

Abstract

An experimental framework for performing 3-D imaging of the breast has been developed. The framework is designed to allow testing of many different detectors and acquisition protocols. We have developed and characterized three detectors. The first is now obsolete. The second detector is an active matrix amorphous-selenium device, and third uses a phosphor screen or an XRII optically coupled to a CCD camera. The second device has excellent dose efficiency (DOE) and resolution, but is too slow to allow easy tomographic imaging. The third device again has excellent resolution, but lacks the dose efficiency of the flat panel detector. This detector does, however, have the temporal response needed to perform CT. We have performed extensive evaluations of the reconstruction methods. In particular, we have concentrated on stereomammography and addressed the issue of dose in stereomammography. We have shown that stereomammography is possible at approximately the same dose as conventional projection mammography. This work considered the effect of x-ray quantum noise. To extend this work to other 3-D imaging techniques, and to consider additional effects, such as visual disparity and depth perception, we developed an extensive 3-D computer simulation of the breast.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2002
Accession Number
ADA416065

Entities

People

  • Andrew D. Maidment

Organizations

  • Thomas Jefferson University

Tags

Communities of Interest

  • Biomedical
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Breast Cancer
  • Change Detection
  • Computational Science
  • Computer Vision
  • Databases
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Digital Images
  • Health Services
  • Imaging Techniques
  • Information Science
  • Medical Personnel
  • Radiography
  • Three Dimensional
  • Tomography
  • Two Dimensional

Fields of Study

  • Medicine
  • Physics

Readers

  • Image Processing and Computer Vision.
  • Nuclear and Radiation Engineering.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • Quantum Computing