A human factors engineering approach to biomedical decision making: A new role for automatic target recognizer technologies

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Description

This report identifies the key features noted as requirements in the diagnostic decision-making process of Single Photon Emission Computed Tomography (SPECT) cardiac imaging. The report discusses the critical issues that create the basic system framework for design of an automatic target recognizer (ATR) algorithm prototype to support diagnosis of coronary artery disease. Candidate feature discovery algorithms that may form the basis of future work include Adaptive Resonance Theory and Bayesian Decision Network. A framework for the practitioner-Human-System-Interface would include baseline patient history and demographic data; reference cardiac imagery history; and current overlay imagery to provide complementary information (i.e., coronary angiography, ... continued below

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22 p.

Creation Information

Sobel, A. L.; Stalker, K. T. & Yee, A. January 1, 1995.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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  • Sandia National Laboratories
    Publisher Info: Sandia National Labs., Albuquerque, NM (United States)
    Place of Publication: Albuquerque, New Mexico

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Description

This report identifies the key features noted as requirements in the diagnostic decision-making process of Single Photon Emission Computed Tomography (SPECT) cardiac imaging. The report discusses the critical issues that create the basic system framework for design of an automatic target recognizer (ATR) algorithm prototype to support diagnosis of coronary artery disease. Candidate feature discovery algorithms that may form the basis of future work include Adaptive Resonance Theory and Bayesian Decision Network. A framework for the practitioner-Human-System-Interface would include baseline patient history and demographic data; reference cardiac imagery history; and current overlay imagery to provide complementary information (i.e., coronary angiography, echocardiography, and SPECT images). The goal is to design a prototype that would represent a fused present and historical {open_quotes}whole{close_quotes} functional, structural, and physiologic cardiac patient model. This framework decision-assisting platform would be available to practitioner and student alike, with no {open_quotes}real-world{close_quotes} consequences.

Physical Description

22 p.

Notes

OSTI; NTIS; GPO Dep.

Source

  • Other Information: PBD: Jan 1995

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  • Other: DE95007317
  • Report No.: SAND--95-0109
  • Grant Number: AC04-94AL85000
  • DOI: 10.2172/10120218 | External Link
  • Office of Scientific & Technical Information Report Number: 10120218
  • Archival Resource Key: ark:/67531/metadc1273020

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

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Creation Date

  • January 1, 1995

Added to The UNT Digital Library

  • Oct. 12, 2018, 6:44 a.m.

Description Last Updated

  • Nov. 15, 2018, 2:38 p.m.

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Sobel, A. L.; Stalker, K. T. & Yee, A. A human factors engineering approach to biomedical decision making: A new role for automatic target recognizer technologies, report, January 1, 1995; Albuquerque, New Mexico. (digital.library.unt.edu/ark:/67531/metadc1273020/: accessed December 16, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.