An Architecture for a Brain-Image Database

E. H. Herskovits

doi:10.1055/s-0038-1634397

Methods of Information in Medicine, Inhaltsverzeichnis

Methods Inf Med 2000; 39(04/05): 291-297
DOI: 10.1055/s-0038-1634397

Original Article

Schattauer GmbH

An Architecture for a Brain-Image Database

Autor*innen

E. H. Herskovits

¹Division of Neuroradiology, The Johns Hopkins Medical Institutions, Baltimore, MD, USA

Abstract

Abstract:

The widespread availability of methods for noninvasive assessment of brain structure has enabled researchers to investigate neuroimaging correlates of normal aging, cerebrovascular disease, and other processes; we designate such studies as image-based clinical trials (IBCTs). We propose an architecture for a brain-image database, which integrates image processing and statistical operators, and thus supports the implementation and analysis of IBCTs. The implementation of this architecture is described and results from the analysis of image and clinical data from two IBCTs are presented. We expect that systems such as this will play a central role in the management and analysis of complex research data sets.

Keywords

Statistical Analysis - Brain - Magnetic Resonance - Images - Analysis - Image Display

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Referenzen

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