Computer Aided Dosimetry and Verification of Exposure to Radiation

Abstract

In the timeframe following the September 11th attacks on the United States, increased emphasis has been placed on Chemical, Biological, Radiological and Nuclear (CBRN) preparedness. Of prime importance is rapid field assessment of potential radiation exposure to Canadian Forces field personnel. This work set up a framework for generating an "expert" computer system for aiding and assisting field personnel in determining the extent of radiation insult to military personnel. Data was gathered by review of the available literature, discussions with medical and health physics personnel having hands-on experience dealing with radiation accident victims, and from experience of the principal investigator. Flow charts and generic data fusion algorithms were developed. Relationships between known exposure parameters, patient interview and history, clinical symptoms, clinical work-ups, physical dosimetry, biological dosimetry, and dose reconstruction as critical data indicators were investigated. The data obtained was examined in terms of information theory. A main goal was to determine how best to generate an adaptive model (i.e. when more data becomes available, how is the prediction improved). Consideration was given to determination of predictive algorithms for health outcome. In addition. the concept of coding an expert medical treatment advisor system was developed (U)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2002
Accession Number
ADA408163

Entities

People

  • Edward Waller
  • Karen E. Leach
  • Louise Lalonde
  • Robert Z. Stodilka

Organizations

  • Defence Research and Development Canada

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Blood
  • Cells
  • Chemistry
  • Computational Science
  • Computer Programming
  • Health Services
  • Lymphocytes
  • Medical Personnel

Fields of Study

  • Medicine
  • Physics

Readers

  • Computational Modeling and Simulation
  • Nuclear and Radiation Engineering.
  • Software Engineering.