Novel DBMS extensions for functional brain image analysis

Kristin R. Munch, John V. Carlis, Jose V. Pardo, Joel T. Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Using computerized analysis of neuroimages can potentially enhance sensitivity and specificity in the diagnosis of psychiatric diseases, such as Alzheimer's disease (AD). However, quantitative analysis of functional brain images remains a manual, tedious task. To address this problem, we are building an extended neuropsychiatric image database system to advance the study of brain images of psychiatric disease toward more comprehensive analyses. We report on our progress so far, and show the design and implementation of a suite of DBMS extensions, as well as the interface used by clinicians to compare metabolism results for single and multiple patients in specific brain regions, a task that was previously insurmountable. We are working toward a first in clinical applications of neuroimaging that will bear directly upon patient assessment, diagnosis, and treatment.

Original languageEnglish (US)
Title of host publication18th International Conference on Systems Engineering, ICSEng 2005
Pages301-306
Number of pages6
DOIs
StatePublished - Dec 1 2005
Event18th International Conference on Systems Engineering, ICSEng 2005 - Las Vegas, NV, United States
Duration: Aug 16 2005Aug 18 2005

Publication series

NameProceedings - 18th International Conference on Systems Engineering, IICSEng 2005
Volume2005

Other

Other18th International Conference on Systems Engineering, ICSEng 2005
Country/TerritoryUnited States
CityLas Vegas, NV
Period8/16/058/18/05

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