Laymon Charles M, Minhas Davneet S, Royse Sarah K, Aizenstein Howard J, Cohen Ann D, Tudorascu Dana L, Klunk William E
Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA.
Department of Bioengineering, University of Pittsburgh, PET Center, PUH B930, 200 Lothrop St, Pittsburgh, PA, 15213, USA.
EJNMMI Phys. 2021 Jul 20;8(1):54. doi: 10.1186/s40658-021-00403-5.
Partial-volume correction (PVC) using the Geometric Transfer Matrix (GTM) method is used in positron emission tomography (PET) to compensate for the effects of spatial resolution on quantitation. We evaluate the effect of misspecification of scanner point-spread function (PSF) on GTM results in amyloid imaging, including the effect on amyloid status classification (positive or negative).
Twenty-nine subjects with Pittsburgh Compound B ([C]PiB) PET and structural T1 MR imaging were analyzed. FreeSurfer 5.3 (FS) was used to parcellate MR images into regions-of-interest (ROIs) that were used to extract radioactivity concentration values from the PET images. GTM PVC was performed using our "standard" PSF parameterization [3D Gaussian, full-width at half-maximum (w) of approximately 5 mm]. Additional GTM PVC was performed with "incorrect" parameterizations, taken around the correct value. The result is a set of regional activity values for each of the GTM applications. For each case, activity values from various ROIs were combined and normalized to produce standardized uptake value ratios (SUVRs) for nine standard [C]PiB quantitation ROIs and a global region. GTM operating-point characteristics were determined from the slope of apparent SUVR versus w curves.
Errors in specification of w on the order of 1 mm (3D) mainly produce only modest errors of up to a few percent. An exception was the anterior ventral striatum in which fractional errors of up to 0.29 per millimeter (3D) of error in w were observed.
While this study does not address all the issues regarding the quantitative strengths and weakness of GTM PVC, we find that with reasonable caution, the unavoidable inaccuracies associated with PSF specification do not preclude its use in amyloid quantitation.
在正电子发射断层扫描(PET)中,使用几何传递矩阵(GTM)方法进行部分容积校正(PVC),以补偿空间分辨率对定量分析的影响。我们评估了扫描仪点扩散函数(PSF)指定错误对淀粉样蛋白成像中GTM结果的影响,包括对淀粉样蛋白状态分类(阳性或阴性)的影响。
分析了29名进行匹兹堡化合物B([C]PiB)PET和结构性T1 MR成像的受试者。使用FreeSurfer 5.3(FS)将MR图像分割为感兴趣区域(ROI),用于从PET图像中提取放射性浓度值。使用我们的“标准”PSF参数化[3D高斯,半高宽(w)约为5 mm]进行GTM PVC。围绕正确值采用“不正确”的参数化进行额外的GTM PVC。结果是每个GTM应用的一组区域活性值。对于每种情况,将来自各个ROI的活性值进行组合并归一化,以生成九个标准[C]PiB定量ROI和一个全局区域的标准化摄取值比率(SUVR)。根据表观SUVR与w曲线的斜率确定GTM工作点特征。
w在3D方向上约1 mm的指定误差主要仅产生高达百分之几的适度误差。一个例外是前腹侧纹状体,其中观察到w的误差在3D方向上每毫米高达0.29的分数误差。
虽然本研究未涉及关于GTM PVC定量优缺点的所有问题,但我们发现,只要合理谨慎,与PSF指定相关的不可避免的不准确性并不妨碍其在淀粉样蛋白定量中的应用。