A method for generating image-derived input function in quantitative 18F-FDG PET study based on the monotonicity of the input and output function curve.

A method for generating image-derived input function in quantitative 18F-FDG PET study based on the monotonicity of the input and output function curve.
复制标题

基于输入输出函数曲线单调性的定量18F-FDG PET研究中生成图像衍生输入函数的方法

DOI:
10.1097/mnm.0b013e32834f262e
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发表时间:
2012-04
影响因子:
1.5
通讯作者:
Shan B
Shan B
中科院分区:
医学4区
文献类型:
--
作者:
Zhou S;Chen K;Reiman EM;Li DM;Shan B

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目的介绍一种定义图像衍生输入函数(IDIF)的方法,并对其进行评估,以定量 PET 研究中的区域脑葡萄糖代谢率。方法根据输入和输出函数曲线之间的不同单调性提取脑血管系统中的体素。对此类体素的时间活动曲线 (TAC) 进行平均以获得脑血管系统的未校正 TAC。 IDIF 是在通过经验公式结合单个血液样本和脑组织的 TAC 校正部分体积和溢出效应后从原始 TAC 中获得的。使用 16 名患者的数据来测试所提出的方法。 Patlak 方法用于分别使用血浆衍生输入函数和我们生成的 IDIF 计算净氟-2-脱氧葡萄糖清除率。结果使用我们的方法生成的 IDIF 计算的净氟-2-脱氧葡萄糖清除率不仅与使用血浆衍生输入函数计算的结果高度相关(相关系数接近 1),而且具有高度可比性(回归斜率接近 1,截距接近 0)。结论本工作采用的方法可行、准确。
ObjectiveA method of defining the image-derived input function (IDIF) was introduced and evaluated for the quantification of the regional cerebral metabolic rate of glucose in PET studies. MethodsThe voxels in the brain vasculature are extracted on the basis of the different monotonicities between the input and the output function curves. Time activity curves (TACs) of such voxels are averaged to obtain the uncorrected TAC of the brain vasculature. The IDIF was obtained from the raw TAC after correcting for the partial volume and spillover effects by an empirical formula in conjunction with a single blood sample and the TAC of the brain tissue. Data from 16 patients were used to test the proposed method. The Patlak approach is used to calculate the net fluoro-2-deoxyglucose clearance with plasma-derived input function and our generated IDIF, respectively. ResultsThe net fluoro-2-deoxyglucose clearances calculated with the IDIF generated by our approach are not only highly correlated (correlation coefficients close to 1) to, but also highly comparable (regression slopes close to 1 and intercepts close to 0) with those calculated with plasma-derived input function. ConclusionThe method used in the present work is feasible and accurate.