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Journal of the American Medical Informatics Association 9:239-254 (2002)
© 2002 American Medical Informatics Association

Application of Information Technology

Design and Applications of a Multimodality Image Data Warehouse Framework

Stephen T.C. Wong, PhD, Kent Soo Hoo, Jr, Robert C. Knowlton, MD, Kenneth D. Laxer, MD, Xinhau Cao, PhD, Randall A. Hawkins, MD, PhD, William P. Dillon, MD and Ronald L. Arenson, MD

Affiliation of the authors: University of California–San Francisco (STCW, KSH, KDL, XC, RAH, WPD, RLA); University of Alabama, Birmingham (RCK).

Correspondence and reprints: Stephen Wong, PhD, Department of Radiology, Box 0628, UCSF, 505 Parnassus Avenue, San Francisco, CA 94143; e-mail: <swong{at}radiology.ucsf.edu>.

A comprehensive data warehouse framework is needed, which encompasses imaging and non-imaging information in supporting disease management and research. The authors propose such a framework, describe general design principles and system architecture, and illustrate a multimodality neuroimaging data warehouse system implemented for clinical epilepsy research. The data warehouse system is built on top of a picture archiving and communication system (PACS) environment and applies an iterative object-oriented analysis and design (OOAD) approach and recognized data interface and design standards. The implementation is based on a Java CORBA (Common Object Request Broker Architecture) and Web-based architecture that separates the graphical user interface presentation, data warehouse business services, data staging area, and backend source systems into distinct software layers. To illustrate the practicality of the data warehouse system, the authors describe two distinct biomedical applications—namely, clinical diagnostic workup of multimodality neuroimaging cases and research data analysis and decision threshold on seizure foci lateralization. The image data warehouse framework can be modified and generalized for new application domains.




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