Share Email Print

Proceedings Paper

Content-based numerical report searching for image enabled case retrieval
Author(s): Liang Xue; Tonghui Ling; Jianguo Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

One way to improve accuracy of diagnosis and provide better medical treatment to patients is to recall or find records of previous patients with similar disease features from healthcare information systems which already have confirmed diagnostic results. In most situations, features of disease may be described by other kinds of information or data types such as numerical reports or a simple or complicated SR (Structure Reports) generated from Ultrasound Information System (USIS) or from computer assisted detection (CAD) components, or laboratory information system (LIS). In this presentation, we described a new approach to search and retrieve numerical reports based on the contents of parameters from large database of numerical reports. We have tested this approach by using numerical data from an ultrasound information system (USIS) and got desired results both in accuracy and performance. The system can be wrapped as a web service and is being integrated into a USIS and EMR for clinical evaluation without interrupting the normal operations of USIS/RIS/PACS. We give the design architecture and implementation strategy of this novel framework to provide feature based case retrieval capability in an integrated healthcare information system.

Paper Details

Date Published: 11 March 2010
PDF: 12 pages
Proc. SPIE 7628, Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 76280Y (11 March 2010); doi: 10.1117/12.844096
Show Author Affiliations
Liang Xue, Shanghai Institute of Technical Physics (China)
Tonghui Ling, Shanghai Institute of Technical Physics (China)
Jianguo Zhang, Shanghai Institute of Technical Physics (China)

Published in SPIE Proceedings Vol. 7628:
Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications
Brent J. Liu; William W. Boonn, Editor(s)

© SPIE. Terms of Use
Back to Top