Task-Specific Optimization of Mammographic Systems

Abstract

During this past year, our research has focused on four objectives. The first objective was to develop a simulation model for the radiographic appearance of breast masses and calcifications. This model was verified by a human observer performance experiment. The next objective explored the physical properties of a digital mammographic system, including resolution, noise, efficiency, and lag. The system was characterized for new beam qualities that used a tungsten anode, as these beams appear to produce higher quality digital images than conventional molybdenum beams. The third objective included physical measurements of display characteristics. This study introduced new means of removing the structured noise from Liquid Crystal Display (LCD) and Cathode Ray Tube (ORT) devices. The results from this study were applied to the fourth objective, which examined the impact of display resolution on the detection of breast masses and calcifications. We used two different observer models to inspect these images, including JNDMetrix, a visual discrimination model, and a non-prewhitening matched filter model with an eye filter. The results from this study will be used to guide human observer studies. Future work will explore the impact of dose reduction, detector properties, and image processing on detection of masses and calcifications.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA435064

Entities

People

  • Robert N Saunders

Organizations

  • Duke University

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Cathode Ray Tubes
  • Detection
  • Detectors
  • Digital Images
  • Frequency Bands
  • Image Processing
  • Liquid Crystal Displays
  • Measurement
  • North Carolina
  • Physical Properties
  • Quantum Efficiency
  • Radiation
  • Radiography
  • Simulations
  • Two Dimensional
  • X Rays
  • X-Ray Detectors

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Human-Computer Interaction (HCI).
  • Image Processing and Computer Vision.

Technology Areas

  • AI & ML