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Proceedings Paper

Intelligent agent support for automated radiology exam
Author(s): Yi Shang; Mihail Popescu
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Paper Abstract

A difficult problem in automatic medical image understanding is that for every image type such as x-ray and every body organ such as heart, there exist specific solutions that do not allow for generalization. Just collecting all the specific solutions will not achieve the vision of a computerized physician. To address this problem, we propose an intelligent agent approach that is based on agent-oriented programming is that it combines the benefits of object-oriented programming and expert system. For radiology image understanding, we present a multi- agent system that is composed of two major types of intelligent agents: radiologist agents and patient agents. A patient agent asks for multiple opinions from radiologists agents in interpreting a given set of images and then integrates the opinions. A radiologist agent decomposes the image recognition task into smaller problems that are solved collectively by multiple intelligent sub-agents. Finally, we present a preliminary implementation and running examples of the multi-agent system.

Paper Details

Date Published: 9 October 2000
PDF: 10 pages
Proc. SPIE 4118, Parallel and Distributed Methods for Image Processing IV, (9 October 2000); doi: 10.1117/12.403600
Show Author Affiliations
Yi Shang, Univ. of Missouri/Columbia (United States)
Mihail Popescu, Univ. of Missouri/Columbia (United States)


Published in SPIE Proceedings Vol. 4118:
Parallel and Distributed Methods for Image Processing IV
Hongchi Shi; Patrick C. Coffield; Divyendu Sinha, Editor(s)

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