一种基于输入与输出函数曲线单调性在定量18F-FDG PET研究中生成图像衍生输入函数的方法。
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.
作者信息
Zhou Shan, Chen Kewei, Reiman Eric M, Li De-min, Shan Baoci
机构信息
Physical Science and Technology College, Zhengzhou University, Zhengzhou, China.
出版信息
Nucl Med Commun. 2012 Apr;33(4):362-70. doi: 10.1097/MNM.0b013e32834f262e.
OBJECTIVE
A 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.
METHODS
The 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.
RESULTS
The 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.
CONCLUSION
The method used in the present work is feasible and accurate.
目的
介绍并评估一种用于正电子发射断层扫描（PET）研究中定义图像衍生输入函数（IDIF）的方法，以量化局部脑葡萄糖代谢率。
方法
基于输入和输出函数曲线之间不同的单调性，提取脑血管中的体素。对这些体素的时间-活性曲线（TAC）进行平均，以获得未经校正的脑血管TAC。通过结合单个血样和脑组织TAC的经验公式校正部分容积和溢出效应后，从原始TAC中获得IDIF。使用16例患者的数据来测试所提出的方法。分别采用Patlak方法，使用血浆衍生输入函数和我们生成的IDIF来计算净氟代脱氧葡萄糖清除率。
结果
用我们的方法生成的IDIF计算得到的净氟代脱氧葡萄糖清除率，不仅与使用血浆衍生输入函数计算得到的结果高度相关（相关系数接近1），而且具有高度可比性（回归斜率接近1且截距接近0）。
结论
本研究中使用的方法是可行且准确的。
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