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Proceedings Paper

IRES: image retrieval expert system
Author(s): Olivia R. Liu Sheng; Hui-Chin Wang; Hong-Mei Chen Garcia
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Paper Abstract

Image Retrieval Expert System (IRES), a knowledge-based system for automatic image retrieval, is being prototyped at the University of Arizona (U of A). IRES is to couple with the distributed database system designed for Structured PACS (S-PACS)1 to achieve the high system performance required by radiologists. IRES encompasses the "intelligence" of multiple expert radiologists. The system will predict and migrate the "old" images needed for comparison purposes during radiological exam readings from slower or remote storage devices to the local buffers of workstations. The use of IRES with the PACS Distributed Database System (DDBS) is expected to shorten the PACS system response time, save the time of radiologists in selecting films, minimize the turnaround time of the exam interpretation function, and increase diagnostic effectiveness by providing relevant images automatically. This paper presents the implementation details of this IRES prototype.

Paper Details

Date Published: 1 August 1990
PDF: 10 pages
Proc. SPIE 1234, Medical Imaging IV: PACS Systems Design and Evaluation, (1 August 1990); doi: 10.1117/12.19011
Show Author Affiliations
Olivia R. Liu Sheng, Univ. of Arizona (United States)
Hui-Chin Wang, Univ. of Arizona (United States)
Hong-Mei Chen Garcia, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 1234:
Medical Imaging IV: PACS Systems Design and Evaluation
Samuel J. Dwyer; R. Gilbert Jost, Editor(s)

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