Quantitative Imaging and Medical Physics Team, Center for Medical Physics and Biomedical Engineering, Medical University of Vienna, Vienna, Austria.
Department of Clinical Physiology, Nuclear Medicine, and PET and Cluster for Molecular Imaging Section 4011, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark.
J Nucl Med. 2023 Jul;64(7):1145-1153. doi: 10.2967/jnumed.122.265362. Epub 2023 Jun 8.
We introduce the Fast Algorithm for Motion Correction (FALCON) software, which allows correction of both rigid and nonlinear motion artifacts in dynamic whole-body (WB) images, irrespective of the PET/CT system or the tracer. Motion was corrected using affine alignment followed by a diffeomorphic approach to account for nonrigid deformations. In both steps, images were registered using multiscale image alignment. Moreover, the frames suited to successful motion correction were automatically estimated by calculating the initial normalized cross-correlation metric between the reference frame and the other moving frames. To evaluate motion correction performance, WB dynamic image sequences from 3 different PET/CT systems (Biograph mCT, Biograph Vision 600, and uEXPLORER) using 6 different tracers (F-FDG, F-fluciclovine, Ga-PSMA, Ga-DOTATATE, C-Pittsburgh compound B, and Rb) were considered. Motion correction accuracy was assessed using 4 different measures: change in volume mismatch between individual WB image volumes to assess gross body motion, change in displacement of a large organ (liver dome) within the torso due to respiration, change in intensity in small tumor nodules due to motion blur, and constancy of activity concentration levels. Motion correction decreased gross body motion artifacts and reduced volume mismatch across dynamic frames by about 50%. Moreover, large-organ motion correction was assessed on the basis of correction of liver dome motion, which was removed entirely in about 70% of all cases. Motion correction also improved tumor intensity, resulting in an average increase in tumor SUVs by 15%. Large deformations seen in gated cardiac Rb images were managed without leading to anomalous distortions or substantial intensity changes in the resulting images. Finally, the constancy of activity concentration levels was reasonably preserved (<2% change) in large organs before and after motion correction. FALCON allows fast and accurate correction of rigid and nonrigid WB motion artifacts while being insensitive to scanner hardware or tracer distribution, making it applicable to a wide range of PET imaging scenarios.
我们介绍了快速运动校正算法(Fast Algorithm for Motion Correction,FALCON)软件,它可以校正动态全身(WB)图像中的刚性和非线性运动伪影,无论 PET/CT 系统或示踪剂如何。运动使用仿射对齐进行校正,然后使用仿射方法来解释非刚性变形。在这两个步骤中,使用多尺度图像配准对图像进行配准。此外,通过计算参考帧和其他运动帧之间的初始归一化互相关度量来自动估计适合成功运动校正的帧数。为了评估运动校正性能,我们考虑了来自 3 种不同的 PET/CT 系统(Biograph mCT、Biograph Vision 600 和 uEXPLORER)和 6 种不同示踪剂(F-FDG、F-氟环戊氨酸、Ga-PSMA、Ga-DOTATATE、C-Pittsburgh 化合物 B 和 Rb)的 WB 动态图像序列。使用 4 种不同的度量标准评估运动校正的准确性:个体 WB 图像体积之间体积不匹配的变化以评估大体运动,由于呼吸导致躯干内大器官(肝顶)位移的变化,由于运动模糊导致小肿瘤结节强度的变化,以及活性浓度水平的恒定性。运动校正降低了大体运动伪影,并将动态帧之间的体积不匹配减少了约 50%。此外,大器官运动校正基于肝顶运动的校正,在大约 70%的情况下完全消除了肝顶运动。运动校正还改善了肿瘤强度,使肿瘤 SUV 平均增加了 15%。门控心脏 Rb 图像中观察到的大变形在不导致图像异常变形或强度显著变化的情况下得到处理。最后,在运动校正前后,大器官中的活性浓度水平保持合理的恒定性(<2%的变化)。FALCON 允许快速准确地校正刚性和非刚性 WB 运动伪影,同时对扫描仪硬件或示踪剂分布不敏感,使其适用于广泛的 PET 成像场景。