Clinical Optimization of Current Digital Mammography Systems.

Abstract

At the start of this project in the clinical optimization of digital mammography systems, these systems had not been shown to have adequate quality for clinical use. In the first year of this project we worked on image processing optimization and demonstrated that additional developments were needed. During the second year we continued our testing and were able to produce images in geometric test objects that exceeded the conspicuity of small objects of conventional mammography. At the same time we were able to produce in a limited number of cases digital mammograms that appear to be equal to or better than conventional mammography. In the third year we will be testing these new methods in a clinical trial to demonstrate that they are likely equal to or perhaps better than conventional mammography in the detection of objects associated with small breast cancers.

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Document Details

Document Type
Technical Report
Publication Date
Jan 14, 1995
Accession Number
ADA291597

Entities

People

  • Matthew L Freedman

Organizations

  • Georgetown University

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abstracts
  • Charge Coupled Devices
  • Chemistry
  • Classification
  • Data Sets
  • Detection
  • Detectors
  • Diagnostic Imaging
  • Films
  • Image Processing
  • Mammography
  • Materials
  • Neoplasms
  • Neural Networks
  • Optimization
  • Pattern Recognition
  • Standards

Fields of Study

  • Medicine
  • Physics

Readers

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