Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging
Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging
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DOI：
10.1007/s12350-019-01613-2
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发表时间：
2020-12-01
影响因子：
2.4
通讯作者：
Cal-Gonzalez, Jacobo
中科院分区：
文献类型：
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作者：
Lassen, Martin Lyngby;Beyer, Thomas;Cal-Gonzalez, Jacobo
背景：呼吸病人的运动导致PET图像模糊，这可能影响在PET心肌存活研究中准确定量的灌注和梗塞范围。在这项研究中，我们研究了在使用数据驱动的、基于投影的呼吸运动补偿(DPR-MoCo)技术重建图像之前，直接在PET-LIST模式数据中校正呼吸运动的可行性。方法通过模拟XCAT体模(Bioggraph MMR PET/MR)和实验性体模采集(Bioggraph MCT PET/CT)对DPR-MoCo方法进行验证。使用PET/MR系统的双示踪剂(F-18-FDG/N-13-NH3)成像方案的7个患者研究也被评估。将DPR-MoCo方法与采集数据的重建(No-MoCo)、参考门方法(GATED)和使用标准重建-变换-平均(RTA-MoCo)方法的基于图像的MoCo方法的性能进行了比较。对所有采集的心肌的靶-背景比(TBRLV)和肝脏的噪声(CoVliver)进行评估。结果DPR-MoCo和No-MoCo图像的噪声特性(CoV)相似(P=.12)，而RTA-MoCo和参照门图像的噪声水平较高(P=0.05)。与非MoCo重建相比，运动受限重建的TBRLV值增加(P>；0.05)。DPR-MoCo结果与心脏MR获得的功能值之间的相关性高于非MoCo结果，但无统计学意义(P>；0.05)。结论基于投影的DPR-MoCo方法有助于提高心肌的PET图像质量，而不需要外部的运动跟踪设备。
Background Respiratory patient motion causes blurring of the PET images that may impact accurate quantification of perfusion and infarction extents in PET myocardial viability studies. In this study, we investigate the feasibility of correcting for respiratory motion directly in the PET-listmode data prior to image reconstruction using a data-driven, projection-based, respiratory motion compensation (DPR-MoCo) technique. Methods The DPR-MoCo method was validated using simulations of a XCAT phantom (Biograph mMR PET/MR) as well as experimental phantom acquisitions (Biograph mCT PET/CT). Seven patient studies following a dual-tracer (F-18-FDG/N-13-NH3) imaging-protocol using a PET/MR-system were also evaluated. The performance of the DPR-MoCo method was compared against reconstructions of the acquired data (No-MoCo), a reference gate method (gated) and an image-based MoCo method using the standard reconstruction-transform-average (RTA-MoCo) approach. The target-to-background ratio (TBRLV) in the myocardium and the noise in the liver (CoVliver) were evaluated for all acquisitions. For all patients, the clinical effect of the DPR-MoCo was assessed based on the end-systolic (ESV), the end-diastolic volumes (EDV) and the left ventricular ejection fraction (EF) which were compared to functional values obtained from the cardiac MR. Results The DPR-MoCo and the No-MoCo images presented with similar noise-properties (CoV) (P = .12), while the RTA-MoCo and reference-gate images showed increased noise levels (P = .05). TBRLV values increased for the motion limited reconstructions when compared to the No-MoCo reconstructions (P > .05). DPR-MoCo results showed higher correlation with the functional values obtained from the cardiac MR than the No-MoCo results, though non-significant (P > .05). Conclusion The projection-based DPR-MoCo method helps to improve PET image quality of the myocardium without the need for external devices for motion tracking.