Literature DB >> 1946602

The effects of measurement errors in the plasma radioactivity curve on parameter estimation in positron emission tomography.

K W Chen1, S C Huang, D C Yu.   

Abstract

The effects of three error sources in plasma curve measurements on parameter estimation in kinetic analysis of positron emission tomography (PET) fluorodeoxyglucose (FDG) data are investigated by computer simulation. The three error sources are: (1) measurement noise in the radioactivity concentrations of plasma samples; (2) linear interpolation between adjacent plasma sampling points of the plasma time activity curve; and (3) incorrect weights used for the least-squares regression. All three error sources are found to increase the variability of the parameter estimates, with the first one a primary error source in normal PET FDG studies. The performance of five estimation methods which account for the error sources are evaluated. When the noise variances of the plasma and the tissue measurements are not known, an iterative weighting procedure is shown to give accurate and reliable estimates.

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Year:  1991        PMID: 1946602     DOI: 10.1088/0031-9155/36/9/003

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  18 in total

Review 1.  Dynamic single photon emission computed tomography--basic principles and cardiac applications.

Authors:  Grant T Gullberg; Bryan W Reutter; Arkadiusz Sitek; Jonathan S Maltz; Thomas F Budinger
Journal:  Phys Med Biol       Date:  2010-09-22       Impact factor: 3.609

2.  An internet-based "kinetic imaging system" (KIS) for MicroPET.

Authors:  Sung-Cheng Huang; David Truong; Hsiao-Ming Wu; Arion F Chatziioannou; Weber Shao; Anna M Wu; Michael E Phelps
Journal:  Mol Imaging Biol       Date:  2005 Sep-Oct       Impact factor: 3.488

3.  An input function estimation method for FDG-PET human brain studies.

Authors:  Hongbin Guo; Rosemary A Renaut; Kewei Chen
Journal:  Nucl Med Biol       Date:  2007-07       Impact factor: 2.408

4.  Analysis of penalized likelihood image reconstruction for dynamic PET quantification.

Authors:  Guobao Wang; Jinyi Qi
Journal:  IEEE Trans Med Imaging       Date:  2009-02-10       Impact factor: 10.048

5.  New method for the analysis of multiple positron emission tomography dynamic datasets: an example applied to the estimation of the cerebral metabolic rate of oxygen.

Authors:  D Ho; D Feng; K Chen
Journal:  Med Biol Eng Comput       Date:  1998-01       Impact factor: 2.602

6.  Tracer kinetic modelling of receptor data with mathematical metabolite correction.

Authors:  C Burger; A Buck
Journal:  Eur J Nucl Med       Date:  1996-05

7.  Bayesian Analysis of a One Compartment Kinetic Model Used in Medical Imaging.

Authors:  Peter Malave; Arkadiusz Sitek
Journal:  J Appl Stat       Date:  2015       Impact factor: 1.404

8.  Selection of weighting factors for quantification of PET radioligand binding using simplified reference tissue models with noisy input functions.

Authors:  M D Normandin; R A Koeppe; E D Morris
Journal:  Phys Med Biol       Date:  2012-01-12       Impact factor: 3.609

9.  Improved derivation of input function in dynamic mouse [18F]FDG PET using bladder radioactivity kinetics.

Authors:  Koon-Pong Wong; Xiaoli Zhang; Sung-Cheng Huang
Journal:  Mol Imaging Biol       Date:  2013-08       Impact factor: 3.488

10.  A Factor-Image Framework to Quantification of Brain Receptor Dynamic PET Studies.

Authors:  Z Jane Wang; Zsolt Szabo; Peng Lei; József Varga; K J Ray Liu
Journal:  IEEE Trans Signal Process       Date:  2008-09       Impact factor: 4.931

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