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Proceedings Paper

Intelligent retrieval of medical images from the Internet
Author(s): Yau-Kuo Tang; Ted T. Chiang
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Paper Abstract

The object of this study is using Internet resources to provide a cost-effective, user-friendly method to access the medical image archive system and to provide an easy method for the user to identify the images required. This paper describes the prototype system architecture, the implementation, and results. In the study, we prototype the Intelligent Medical Image Retrieval (IMIR) system as a Hypertext Transport Prototype server and provide Hypertext Markup Language forms for user, as an Internet client, using browser to enter image retrieval criteria for review. We are developing the intelligent retrieval engine, with the capability to map the free text search criteria to the standard terminology used for medical image identification. We evaluate retrieved records based on the number of the free text entries matched and their relevance level to the standard terminology. We are in the integration and testing phase. We have collected only a few different types of images for testing and have trained a few phrases to map the free text to the standard medical terminology. Nevertheless, we are able to demonstrate the IMIR's ability to search, retrieve, and review medical images from the archives using general Internet browser. The prototype also uncovered potential problems in performance, security, and accuracy. Additional studies and enhancements will make the system clinically operational.

Paper Details

Date Published: 1 May 1996
PDF: 9 pages
Proc. SPIE 2711, Medical Imaging 1996: PACS Design and Evaluation: Engineering and Clinical Issues, (1 May 1996); doi: 10.1117/12.239278
Show Author Affiliations
Yau-Kuo Tang, Loral AeroSys (United States)
Ted T. Chiang, Loral AeroSys (United States)

Published in SPIE Proceedings Vol. 2711:
Medical Imaging 1996: PACS Design and Evaluation: Engineering and Clinical Issues
R. Gilbert Jost; Samuel J. Dwyer, Editor(s)

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