Share Email Print

Proceedings Paper

Design of a graphical user interface for an intelligent multimedia information system for radiology research
Author(s): Ricky K. Taira; Clement Wong; David Johnson; Vikas Bhushan M.D.; Monica Rivera; Lu J. Huang; Denise R. Aberle; Alfonso F. Cardenas; Wesley W. Chu
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

With the increase in the volume and distribution of images and text available in PACS and medical electronic health-care environments it becomes increasingly important to maintain indexes that summarize the content of these multi-media documents. Such indices are necessary to quickly locate relevant patient cases for research, patient management, and teaching. The goal of this project is to develop an intelligent document retrieval system that allows researchers to request for patient cases based on document content. Thus we wish to retrieve patient cases from electronic information archives that could include a combined specification of patient demographics, low level radiologic findings (size, shape, number), intermediate-level radiologic findings (e.g., atelectasis, infiltrates, etc.) and/or high-level pathology constraints (e.g., well-differentiated small cell carcinoma). The cases could be distributed among multiple heterogeneous databases such as PACS, RIS, and HIS. Content- based retrieval systems go beyond the capabilities of simple key-word or string-based retrieval matching systems. These systems require a knowledge base to comprehend the generality/specificity of a concept (thus knowing the subclasses or related concepts to a given concept) and knowledge of the various string representations for each concept (i.e., synonyms, lexical variants, etc.). We have previously reported on a data integration mediation layer that allows transparent access to multiple heterogeneous distributed medical databases (HIS, RIS, and PACS). The data access layer of our architecture currently has limited query processing capabilities. Given a patient hospital identification number, the access mediation layer collects all documents in RIS and HIS and returns this information to a specified workstation location. In this paper we report on our efforts to extend the query processing capabilities of the system by creation of custom query interfaces, an intelligent query processing engine, and a document-content index that can be generated automatically (i.e., no manual authoring or changes to the normal clinical protocols).

Paper Details

Date Published: 12 May 1995
PDF: 13 pages
Proc. SPIE 2435, Medical Imaging 1995: PACS Design and Evaluation: Engineering and Clinical Issues, (12 May 1995); doi: 10.1117/12.208771
Show Author Affiliations
Ricky K. Taira, Univ. of California/Los Angeles (United States)
Clement Wong, Univ. of California/Los Angeles (United States)
David Johnson, Univ. of California/Los Angeles (United States)
Vikas Bhushan M.D., Univ. of California/Los Angeles (United States)
Monica Rivera, Univ. of California/Los Angeles (United States)
Lu J. Huang, Univ. of California/Los Angeles (United States)
Denise R. Aberle, Univ. of California/Los Angeles (United States)
Alfonso F. Cardenas, Univ. of California/Los Angeles (United States)
Wesley W. Chu, Univ. of California/Los Angeles (United States)

Published in SPIE Proceedings Vol. 2435:
Medical Imaging 1995: PACS Design and Evaluation: Engineering and Clinical Issues
R. Gilbert Jost M.D.; Samuel J. Dwyer III, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?