IMPROVED ESTIMATION OF LOCAL CEREBRAL GLUCOSE METABOLIC RATE USING BAYES REGRESSION ANALYSIS OF PET SCAN DATA.

P. D. Wilson; S. C. Huang; J. M. Links

IMPROVED ESTIMATION OF LOCAL CEREBRAL GLUCOSE METABOLIC RATE USING BAYES REGRESSION ANALYSIS OF PET SCAN DATA.

P. D. Wilson, S. C. Huang, J. M. Links

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

Abstract

The current method for measurement of local cerebral metabolic rate of glucose (LCMRG) has relatively small errors when applied to normal healthy tissue. When applied to ischemic regions in brains of stroke patients, the method gives estimates which average about 50% too low. Therefore, the authors introduce a modified Bayes regression (BR) to compute the LCMRG, and use computer simulation studies to demonstrate that BR has relatively small errors for either ischemic or normal tissue. These improved estimates are within the clinical constraints of a one-hour data collection period.

Original language	English (US)
Title of host publication	Proceedings - Annual Symposium on Computer Applications in Medical Care
Editors	Gerald S. Cohen
Publisher	IEEE
Pages	128-131
Number of pages	4
ISBN (Print)	0818605650
State	Published - 1984
Externally published	Yes

Publication series

Name	Proceedings - Annual Symposium on Computer Applications in Medical Care
ISSN (Print)	0195-4210

ASJC Scopus subject areas

Engineering(all)

Cite this

IMPROVED ESTIMATION OF LOCAL CEREBRAL GLUCOSE METABOLIC RATE USING BAYES REGRESSION ANALYSIS OF PET SCAN DATA. / Wilson, P. D.; Huang, S. C.; Links, J. M.
Proceedings - Annual Symposium on Computer Applications in Medical Care. ed. / Gerald S. Cohen. IEEE, 1984. p. 128-131 (Proceedings - Annual Symposium on Computer Applications in Medical Care).

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

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abstract = "The current method for measurement of local cerebral metabolic rate of glucose (LCMRG) has relatively small errors when applied to normal healthy tissue. When applied to ischemic regions in brains of stroke patients, the method gives estimates which average about 50% too low. Therefore, the authors introduce a modified Bayes regression (BR) to compute the LCMRG, and use computer simulation studies to demonstrate that BR has relatively small errors for either ischemic or normal tissue. These improved estimates are within the clinical constraints of a one-hour data collection period.",

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AU - Links, J. M.

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AB - The current method for measurement of local cerebral metabolic rate of glucose (LCMRG) has relatively small errors when applied to normal healthy tissue. When applied to ischemic regions in brains of stroke patients, the method gives estimates which average about 50% too low. Therefore, the authors introduce a modified Bayes regression (BR) to compute the LCMRG, and use computer simulation studies to demonstrate that BR has relatively small errors for either ischemic or normal tissue. These improved estimates are within the clinical constraints of a one-hour data collection period.

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IMPROVED ESTIMATION OF LOCAL CEREBRAL GLUCOSE METABOLIC RATE USING BAYES REGRESSION ANALYSIS OF PET SCAN DATA.

Abstract

Publication series

ASJC Scopus subject areas

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