Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/8544
Title: Statistical analysis of maximum likelihood estimator images of human brain FDG PET studies
Author: Llacer, Jorge
Veklerov, Eugene
Coakley, Kevin J.
Hoffman, Edward J.
Núñez de Murga, Jorge, 1955-
Keywords: Cervell
Tomografia d'emissió
Estadística
Brain
Computerised tomography
Radioisotope scanning and imaging
Statistical analysis
Issue Date: 1993
Publisher: IEEE
Abstract: The work presented evaluates the statistical characteristics of regional bias and expected error in reconstructions of real positron emission tomography (PET) data of human brain fluoro-deoxiglucose (FDG) studies carried out by the maximum likelihood estimator (MLE) method with a robust stopping rule, and compares them with the results of filtered backprojection (FBP) reconstructions and with the method of sieves. The task of evaluating radioisotope uptake in regions-of-interest (ROIs) is investigated. An assessment of bias and variance in uptake measurements is carried out with simulated data. Then, by using three different transition matrices with different degrees of accuracy and a components of variance model for statistical analysis, it is shown that the characteristics obtained from real human FDG brain data are consistent with the results of the simulation studies.
Note: Reproducció del document publicat a http://dx.doi.org/10.1109/42.232250
It is part of: IEEE Transactions on Medical Imaging, 1993, vol. 12, núm. 2, p. 215-231.
URI: http://hdl.handle.net/2445/8544
ISSN: 0278-0062
Appears in Collections:Articles publicats en revistes (Física Quàntica i Astrofísica)

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