Task-Specific Optimization of Mammographic Systems

Abstract

This study sought to understand how different imaging parameters affect clinical diagnosis. First it developed research tools for measurement and simulation of mammographic imaging. Second we applied these research tools and conducted a large human observer experiment to answer several clinically relevant questions. The first question explored the impact of display resolution on the detection of breast masses and calcifications. We found that different displays had little impact on clinical performance. The second question explored the effect of reduced dose on the detection of breast lesions. We found that the increased noise from reduced dose did impact radiologist performance. Reducing the dose by half did not have a statistically significant impact on diagnostic accuracy suggesting that mammographic dose could be reduced modestly with little impact on clinical performance. These results have immediate implications for clinical breast imaging.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2007
Accession Number
ADA469423

Entities

People

  • Robert N Saunders

Organizations

  • Duke University

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Biomedical Research
  • Computational Science
  • Databases
  • Detection
  • Detectors
  • Digital Images
  • Display Systems
  • Graphical User Interface
  • Image Processing
  • Information Processing
  • Information Science
  • Institutional Review Board
  • Liquid Crystal Displays
  • Medical Personnel
  • Monte Carlo Method
  • Radiography

Fields of Study

  • Medicine
  • Physics

Readers

  • Economics
  • Human-Computer Interaction (HCI).
  • Medical Imaging.