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Proceedings Paper

Design and deployment of a large brain-image database for clinical and nonclinical research
Author(s): Guo Liang Yang; Choie Cheio Tchoyoson Lim; Narayanaswami Banukumar; Aamer Aziz; Francis Hui; Wieslaw Lucjan Nowinski
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Paper Abstract

An efficient database is an essential component of organizing diverse information on image metadata and patient information for research in medical imaging. This paper describes the design, development and deployment of a large database system serving as a brain image repository that can be used across different platforms in various medical researches. It forms the infrastructure that links hospitals and institutions together and shares data among them. The database contains patient-, pathology-, image-, research- and management-specific data. The functionalities of the database system include image uploading, storage, indexing, downloading and sharing as well as database querying and management with security and data anonymization concerns well taken care of. The structure of database is multi-tier client-server architecture with Relational Database Management System, Security Layer, Application Layer and User Interface. Image source adapter has been developed to handle most of the popular image formats. The database has a user interface based on web browsers and is easy to handle. We have used Java programming language for its platform independency and vast function libraries. The brain image database can sort data according to clinically relevant information. This can be effectively used in research from the clinicians’ points of view. The database is suitable for validation of algorithms on large population of cases. Medical images for processing could be identified and organized based on information in image metadata. Clinical research in various pathologies can thus be performed with greater efficiency and large image repositories can be managed more effectively. The prototype of the system has been installed in a few hospitals and is working to the satisfaction of the clinicians.

Paper Details

Date Published: 19 April 2004
PDF: 9 pages
Proc. SPIE 5371, Medical Imaging 2004: PACS and Imaging Informatics, (19 April 2004); doi: 10.1117/12.534802
Show Author Affiliations
Guo Liang Yang, Institute for Infocomm Research (Singapore)
Choie Cheio Tchoyoson Lim, National Neuroscience Institute (Singapore)
Narayanaswami Banukumar, Institute for Infocomm Research (Singapore)
Aamer Aziz, Institute for Infocomm Research (Singapore)
Francis Hui, National Neuroscience Institute (Singapore)
Wieslaw Lucjan Nowinski, Institute for Infocomm Research (Singapore)


Published in SPIE Proceedings Vol. 5371:
Medical Imaging 2004: PACS and Imaging Informatics
Osman M. Ratib; H. K. Huang, Editor(s)

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