FDG-PET standardized uptake values in normal anatomical structures using iterative reconstruction segmented attenuation correction and filtered back-projection
FDG-PET standardized uptake values in normal anatomical structures using iterative reconstruction segmented attenuation correction and filtered back-projection
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DOI：
10.1007/s002590000421
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发表时间：
2001-02-01
期刊：
影响因子：
--
通讯作者：
Larson, SM
中科院分区：
文献类型：
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作者：
Ramos, CD;Erdi, YE;Larson, SM
滤波反投影法(FBP)是目前最常用的PET图像重建方法，但其图像噪声较大。迭代重建分段衰减校正(IRSAC)算法在不降低图像分辨率的情况下提高了图像质量。标准摄取值(SUV)是临床上最常用的[~(18)氟]-2-脱氧-D-葡萄糖(FDG)蓄积的定量参数。这项研究的目的是从常规使用的FBP和IRSAC重建图像中获得几个正常解剖结构的SUV表，并比较两种方法获得的数据。对连续20例确诊或疑似非小细胞肺癌患者进行的全身PET扫描进行了回顾性分析。使用IRSAC和FBP算法对图像进行处理。当使用FBP或IRSAC算法时，分别使用非定量或高斯滤波器来平滑传输扫描。进行了一项模型研究，以评估不同过滤器对SUV的影响。计算了28个正常解剖结构和1个病变部位的最大和平均SUV(SUVmax和SUVavg)。模型研究表明，在传输扫描中使用非定量平滑过滤器会导致较不准确的量化，并导致对实际测量的低估20%。使用IRSAC图像确定了所有患者的大部分解剖结构。平均而言，使用高斯滤波在IRSAC图像上测量的SUVavg和SUVmax分别比由常规FBP图像计算的SUVavg和SUVmax高20%和8%。数据值的散点图显示IRSAC和FBP SUV之间总体上存在很强的关系。每个部位的单独散点图显示，与较高的SUV和SUVavg相比，较低的SUV和SUVmax的关系较弱。用IRSAC和FBP图像重建算法计算了正常解剖结构的SUVmax和SUVavg，得到了一组参考值。使用IRSAC和高斯过滤器进行透射式扫描似乎比使用非定量过滤器进行透射式扫描的传统FBP图像获得更准确的SUV。
Filtered back-projection (FBP) is the most commonly used reconstruction method for PET images, which are usually noisy. The iterative reconstruction segmented attenuation correction (IRSAC) algorithm improves image quality without reducing image resolution. The standardized uptake value (SUV) is the most clinically utilized quantitative parameter of [fluorine-18]fluoro-2-deoxy-D-glucose (FDG) accumulation. The objective of this study was to obtain a table of SUVs for several normal anatomical structures from both routinely used FBP and IRSAC reconstructed images and to compare the data obtained with both methods. Twenty whole-body PET scans performed in consecutive patients with proven or suspected non-small cell lung cancer were retrospectively analyzed. Images were processed using both IRSAC and FBP algorithms. Nonquantitative or gaussian filters were used to smooth the transmission scan when using FBP or IRSAC algorithms, respectively. A phantom study was performed to evaluate the effect of different filters on SUV. Maximum and average SUVs (SUVmax and SUVavg) were calculated in 28 normal anatomical structures and in one pathological site. The phantom study showed that the use of a nonquantitative smoothing filter in the transmission scan results in a less accurate quantification and in a 20% underestimation of the actual measurement. Most anatomical structures were identified in all patients using the IRSAC images. On average, SUVavg and SUVmax measured on IRSAC images using a gaussian filter in the transmission scan were respectively 20% and 8% higher than the SUVs calculated from conventional FBP images. Scatterplots of the data values showed an overall strong relationship between IRSAC and FBP SUVs. Individual scatterplots of each site demonstrated a weaker relationship for lower SUVs and for SUVmax than for higher SUVs and SUVavg. A set of reference values was obtained for SUVmax and SUVavg of normal anatomical structures, calculated with both IRSAC and FBP image reconstruction algorithms. The use of IRSAC and a gaussian filter for the transmission scan seems to give more accurate SUVs than are obtained from conventional FBP images using a nonquantitative filter for the transmission scan.