Automatic Exposure Control Device for Digital Mammography

Abstract

The broad, long-term objective of this IDEA proposal is to achieve optimized image quality for DM within acceptable limits of radiation exposure by developing innovative approaches for controlling DM exposures. These approaches entail using the digital detector and an artificial neural network to control mammographic exposures. This project's specific aims are (1) to use short, low dose pre-exposures of the breast to create "intelligent" regions of interest that determine the exposure parameters for the fully exposed image; and (2) to use an artificial neural network to select exposure parameters (mAs, kVp, and beam filtration) based on "intelligent decisions" that optimize signal-to- noise (SNR) as a function of mean glandular dose.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2004
Accession Number
ADA429043

Entities

People

  • Laurie L. Fajardo

Organizations

  • University of Iowa

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Automatic
  • Charge Coupled Devices
  • Computer Vision
  • Detectors
  • Diagnostic Imaging
  • Digital Images
  • Electronic Mail
  • Health Services
  • Image Processing
  • Measurement
  • Medical Personnel
  • Optical Properties
  • Radiography
  • Three Dimensional
  • Two Dimensional
  • X Rays

Fields of Study

  • Physics

Readers

  • Nuclear and Radiation Engineering.
  • Oncology and Biomarker-Based Cancer Detection.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks