An evaluation of the algorithms for determining local cerebral metabolic rates of glucose using positron emission tomography dynamic data

被引:66
作者
Feng, DG
Ho, DN
Chen, KW
Wu, LC
Wang, JK
Liu, RS
Yeh, SH
机构
[1] SAMARITAN CTR, PHOENIX, AZ 85067 USA
[2] TAIPEI VET GEN HOSP, NATL PET CYCLOTRON CTR, TAIPEI, TAIWAN
关键词
D O I
10.1109/42.476111
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Measurement of the local cerebral metabolic rate of glucose (LCMRGlc) and the individual rate constant parameters of the [F-18]2-fluoro-2-deoxy-D-glucose (FDG) model can provide a clearer understanding and insight to the physiological processes in the human brain, and a quicker and more accurate means of diagnosis in clinical applications. A systematic study using simulated and clinical tissue time activity data is presented to evaluate several existing and newly developed major algorithms used for determining LCMRGlc and the individual rate constants from positron emission tomography dynamic data. The computational and statistical properties of the autoradiographic approach, weighted and unweighted nonlinear least squares methods, Patlak graphic approach, weighted integration method, linear least squares and generalized linear least squares methods are investigated and discussed in this paper.
引用
收藏
页码:697 / 710
页数:14
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