Design and applications of a multimodality image data warehouse framework.
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.
Wong
Stephen T C
ST
Department of Radiology, University of California-San Francisco, 94143, USA. swong@radiology.ucsf.edu
Hoo
Kent Soo
KS
Knowlton
Robert C
RC
Laxer
Kenneth D
KD
Cao
Xinhau
X
Hawkins
Randall A
RA
Dillon
William P
WP
Arenson
Ronald L
RL
D003658:Decision Making, Computer-Assisted; D003952:Diagnostic Imaging; D004827:Epilepsy / Q000175:diagnosis; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D011381:Programming Languages; D011873:Radiology Information Systems; D012984:Software