Clinical and Technical Performance Evaluation of a Digital Mammography System.

Abstract

The goal of the research effort funded under this grant is to finalize the construction of two prototype DXM-1 slot-scanning digital mammography systems, conduct a technical evaluation of these prototypes and perform two clinical studies to assess the efficacy of the systems in the clinical environment. The technical evaluation and one of the clinical studies is being conducted at the Radiology Department at the University of Arizona (UA). The objective of the technical evaluation is to determine system performance parameters such as dynamic range, modulation transfer function, sensitivity, etc. The second clinical study is scheduled to be conducted at Sharp Healthcare/Sidney Kimmel Cancer Center in San Diego, California and will establish the clinical efficacy of the system compared with conventional film/screen mammography. One thousand women are scheduled to participate. Based on preliminary data gathered thus far on the DXM-1 system. The system response is linear with exposure dose and it appears that the dominant noise source is quantum (x-ray) noise. Efforts are now underway to improve system performance by removing artifacts generated in the image reconstruction process, to eliminate parasitic capacitance on the readout IC, and to increase resolution by interleaving both banks of sensors into the displayed image.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1997
Accession Number
ADA347834

Entities

People

  • Ronald B. Schilling

Tags

Communities of Interest

  • Biomedical
  • Sensors

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Charge Coupled Devices
  • Clinical Trials
  • Detectors
  • Dynamic Range
  • Efficiency
  • Engineering
  • Films
  • Generators
  • Image Reconstruction
  • Mammography
  • Materials
  • Spectra
  • Test And Evaluation
  • Transfer Functions
  • X Rays

Fields of Study

  • Medicine
  • Physics

Readers

  • Instructional Design and Training Evaluation.
  • Oncology and Biomarker-Based Cancer Detection.
  • Research Science/Academic Research

Technology Areas

  • Quantum Computing