Evaluation of a Digital Telemammography System: A Model for a Regional System.

Abstract

The research hypothesis being tested is that a telemammography system provides a mechanism for digitizing, transmitting, archiving, and displaying mammograms so that a trained radiologist utilizing grayscale monitors (2k x 2k x 8/12 bits) can interpret the images with an accuracy level sufficient for primary diagnosis. A new metric for measuring the performance of telemammography systems has been developed, throughput/cost ratio. This metric provides a measure for comparing analog to digital mammography systems. This metric has been employed in comparing manufacturing processes, i.e. jobs/sec/cost (1). A ROC curve analysis (2) is utilized to compare the accuracy of interpretation of analog images versus digitized images. The hypothesis is being tested by utilizing a laser film digitizer with a 50-micron pixel size and by performing ROC studies to compare conventional analog screen-film mammography with digitized screen-film mammograms displayed on grayscale workstations (two monitors, each 2k x 2k x 8/12 bits). The wide area network (WAN) being utilized are terrestrial and satellites links. The goal of this study is to determine the requirements to deliver high quality, high resolution mammography images from remote locations that may not have a terrestrial data communications infrastructure available.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1998
Accession Number
ADA349463

Entities

People

  • Ellen S. De Paredes

Organizations

  • University of Virginia

Tags

Communities of Interest

  • Biomedical
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Breast Cancer
  • Databases
  • Detection
  • Digital Data
  • Films
  • Graphical User Interface
  • Health Care
  • Health Services
  • High Resolution
  • Image Processing
  • Materials
  • Medical Personnel
  • Probability
  • Random Variables
  • Test And Evaluation

Fields of Study

  • Physics

Readers

  • Medical Imaging.
  • Parallel and Distributed Computing.
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • Directed Energy
  • Space
  • Space - Space Objects