THE STATE UNIVERSITY OF NEW JERSEY
RUTGERS - NEWARK
Center for Information Management,
Integration and Connectivity
June 9th, 1999, 10:00a.m.
Management Education Center - Room 203
Johns Hopkins University
Division of Neuroradiology
Seeing through the Forest: Mining Lesion-Deficit Associations in a Brain Image Database
The main goal of the Human Brain Project funded by the National Institutes of Health is functional brain mapping, i.e., discovery of associations between structures and functions of the human brain. For this purpose, large brain image databases that include structural (e.g., magnetic resonance imaging (MRI)), and/or functional (e.g., fMRI) information, and other behavioral data have been developed.
The Brain Image Database (BRAID) was developed at the Johns Hopkins University for the purpose of functional mapping of the human brain through the study of lesioned (abnormal) brain structures and associated deficits. BRAID is a large-scale archive with an analytical query mechanism. It is implemented using the object-relational database scheme and integrates image processing and visualization capabilities with statistical analysis of spatial and clinical data, providing access via extended SQL through a web interface. In this talk, we present the architecture of BRAID and the mining process for discovering lesion-deficit associations. We discuss issues of scalability and morphological ariability. We demonstrate the use of the proposed mining methods by applying them to epidemiological data finding clinically meaningful associations. Furthermore, we evaluate their performance using data produced by a simulator that is based on the bayesian network model.
(joint work with Eddie Herskovits and Christos Davatzikos at the Johns Hopkins University)
Vasileios Megalooikonomou is a faculty research associate in the Division of Neuroradiology, Department of Radiology at the Johns Hopkins University. He received an M.S. (1995) and a Ph.D. (1997) in Computer Science from the University of Maryland, Baltimore County. His Ph.D. thesis was on data compression. For the last few years he has gained expertise in the interdisciplinary work of meshing the disciplines of computation, biology, and medicine. His research interests include multimedia database systems, data compression, and data mining. At Hopkins he is involved in the Brain Image Database Project, part of the Human Brain Project, which is funded by NIH.
Rutgers - CIMIC
Tel:(973) 353-1014 Fax: (973) 353-5003