Attenuation correction of PET/MRI is a remaining problem for whole-body PET/MRI. The statistical decomposition algorithm (SDA) is a probabilistic atlas-based method that calculates synthetic CTs from T2-weighted MRI scans. In this study, we evaluated the application of SDA for attenuation correction of PET images in the pelvic region. Twelve patients were retrospectively selected from an ongoing prostate cancer research study. The patients had same-day scans of [11C]acetate PET/MRI and CT. The CT images were non-rigidly registered to the PET/MRI geometry, and PET images were reconstructed with attenuation correction employing CT, SDA-generated CT, and the built-in Dixon sequence-based method of the scanner. The PET images reconstructed using CT-based attenuation correction were used as ground truth. The mean whole-image PET uptake error was reduced from − 5.4% for Dixon-PET to − 0.9% for SDA-PET. The prostate standardized uptake value (SUV) quantification error was significantly reduced from − 5.6% for Dixon-PET to − 2.3% for SDA-PET. Attenuation correction with SDA improves quantification of PET/MR images in the pelvic region compared to the Dixon-based method.

中文翻译：

---

在T2加权图像上使用统计分解方法改善盆腔区域的PET / MRI衰减校正

PET / MRI的衰减校正是全身PET / MRI仍然存在的问题。统计分解算法（SDA）是一种基于概率图集的方法，可从T2加权MRI扫描计算合成CT。在这项研究中，我们评估了SDA在骨盆区域PET图像的衰减校正中的应用。从正在进行的前列腺癌研究中回顾性选择了十二名患者。患者当天进行了[11C]醋酸盐PET / MRI和CT扫描。将CT图像非刚性地对准到PET / MRI几何体，并使用CT，SDA生成的CT和内置的基于Dixon序列的扫描仪方法通过衰减校正来重建PET图像。使用基于CT的衰减校正重建的PET图像被用作地面真相。平均全图像PET摄取误差从Dixon-PET的-5.4％降低到SDA-PET的-0.9％。前列腺标准化摄取值（SUV）量化误差从Dixon-PET的-5.6％显着降低到SDA-PET的-2.3％。与基于Dixon的方法相比，使用SDA进行的衰减校正可改善盆腔区域中PET / MR图像的定量。