Novel DBMS extensions for functional brain image analysis

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

doi:10.1109/ICSENG.2005.59

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 proceeding › Conference contribution

1 Scopus citations

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 language	English (US)
Title of host publication	18th International Conference on Systems Engineering, ICSEng 2005
Pages	301-306
Number of pages	6
DOIs	https://doi.org/10.1109/ICSENG.2005.59
State	Published - 2005
Event	18th International Conference on Systems Engineering, ICSEng 2005 - Las Vegas, NV, United States Duration: Aug 16 2005 → Aug 18 2005

Publication series

Name	Proceedings - 18th International Conference on Systems Engineering, IICSEng 2005
Volume	2005

Other

Other	18th International Conference on Systems Engineering, ICSEng 2005
Country/Territory	United States
City	Las Vegas, NV
Period	8/16/05 → 8/18/05

Bibliographical note

Funding Information:
This work was supported by the Czech Science Foundation [Grant Number 13-16698S].

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Novel DBMS extensions for functional brain image analysis. / Munch, Kristin R.; Carlis, John V.; Pardo, Jose V. et al.
18th International Conference on Systems Engineering, ICSEng 2005. 2005. p. 301-306 1562869 (Proceedings - 18th International Conference on Systems Engineering, IICSEng 2005; Vol. 2005).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Munch, KR, Carlis, JV, Pardo, JV & Lee, JT 2005, Novel DBMS extensions for functional brain image analysis. in 18th International Conference on Systems Engineering, ICSEng 2005., 1562869, Proceedings - 18th International Conference on Systems Engineering, IICSEng 2005, vol. 2005, pp. 301-306, 18th International Conference on Systems Engineering, ICSEng 2005, Las Vegas, NV, United States, 8/16/05. https://doi.org/10.1109/ICSENG.2005.59

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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.",

author = "Munch, {Kristin R.} and Carlis, {John V.} and Pardo, {Jose V.} and Lee, {Joel T.}",

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Novel DBMS extensions for functional brain image analysis

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