Analysis of PETT images in psychiatric disorders
Conference
·
OSTI ID:5554226
A quantitative method is presented for studying the pattern of metabolic activity in a set of Positron Emission Transaxial Tomography (PETT) images. Using complex Fourier coefficients as a feature vector for each image, cluster, principal components, and discriminant function analyses are used to empirically describe metabolic differences between control subjects and patients with DSM III diagnosis for schizophrenia or endogenous depression. We also present data on the effects of neuroleptic treatment on the local cerebral metabolic rate of glucose utilization (LCMRGI) in a group of chronic schizophrenics using the region of interest approach. 15 references, 4 figures, 3 tables.
- Research Organization:
- New York Univ., NY (USA). Medical Center; IBM de Mexico S.A., Mexico City. Research Center; Brookhaven National Lab., Upton, NY (USA)
- DOE Contract Number:
- AC02-76CH00016
- OSTI ID:
- 5554226
- Report Number(s):
- BNL-33679; CONF-8305109-2; ON: DE83018299
- Resource Relation:
- Conference: 7. Nobel conference on positron emission tomography, Stockholm, Sweden, 17 May 1983
- Country of Publication:
- United States
- Language:
- English
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DATA ANALYSIS
EMISSION COMPUTED TOMOGRAPHY
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