首页> 外文会议>Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE >A new composite technique to estimate the input function for FDG-PET brain quantitative analysis without any blood sample
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A new composite technique to estimate the input function for FDG-PET brain quantitative analysis without any blood sample

机译:一种无需输入血样即可估算FDG-PET脑定量分析输入功能的新复合技术

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The quantitative determination of LCMRGlc (local cerebral metabolic rate of glucose) is one of the advantages for FDG-PET ([/sup 18/F]2-fluoro-2-deoxy-D-glucose positron emission tomography) in diagnosis of brain functions. However, in the FDG 3-compartment model, an input function made of arterial blood samples is necessary for the computation. Due to the invasion of arterial lines and inconvenience of the sampling schedule, FDG quantitative analysis is seldom performed in practice. To solve this dilemma, some methods have been used to simplify the sampling schedule. But one or two blood samples are still needed, or the estimated LCMRGlc may be seriously biased. This paper proposes a new composite technique based on two current methods to estimate the input function without any blood sample. Eighteen patients are tested with this new approach, together with current methods for evaluation. The results show that this new technique can provide reliable estimation of the input function, and the bias of K constants is also reduced when the estimated input function is used.
机译:LDGRGlc(葡萄糖的局部大脑新陈代谢率)的定量测​​定是FDG-PET([/ sup 18 / F] 2-氟-2-脱氧-D-葡萄糖正电子发射断层扫描)在诊断脑功能方面的优势之一。然而,在FDG 3室模型中,由动脉血样本构成的输入函数对于计算是必需的。由于动脉管线的侵入和采样时间表的不便,在实践中很少进行FDG定量分析。为了解决这个难题,已经使用了一些方法来简化采样计划。但是仍然需要一两个血液样本,否则估计的LCMRGlc可能会严重偏差。本文提出了一种新的基于两种当前方法的复合技术,可以在没有任何血液样本的情况下估计输入函数。使用这种新方法以及当前的评估方法对18名患者进行了测试。结果表明,该新技术可以提供对输入函数的可靠估计,并且当使用估计的输入函数时,K常数的偏差也减小了。

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