DocumentCode :
2830465
Title :
Novel DBMS extensions for functional brain image analysis
Author :
Munch, Kristin R. ; Pardo, Jose V. ; Carlis, John V. ; Lee, Joel T.
Author_Institution :
Comput. Sci. & Eng.,, Minnesota Univ., USA
fYear :
2005
fDate :
16-18 Aug. 2005
Firstpage :
301
Lastpage :
306
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 bear directly upon patient assessment, diagnosis, and treatment.
Keywords :
brain; diseases; medical image processing; medical information systems; neurophysiology; visual databases; Alzheimer´s disease; computerized neuroimage analysis; extended neuropsychiatric image database system; functional brain image analysis; image DBMS; metabolism; patient assessment; patient diagnosis; patient treatment; psychiatric disease diagnosis; quantitative analysis; user interface; Alzheimer´s disease; Biochemistry; Brain; Buildings; Image analysis; Image databases; Medical treatment; Neuroimaging; Psychology; Sensitivity and specificity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Engineering, 2005. ICSEng 2005. 18th International Conference on
Print_ISBN :
0-7695-2359-5
Type :
conf
DOI :
10.1109/ICSENG.2005.59
Filename :
1562869
Link To Document :
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