Respiratory motion compromises image quality in myocardial perfusion (MP) single-photon emission computed tomography (SPECT) imaging and may affect analysis of left ventricular (LV) functional parameters, including phase analysis-quantified mechanical dyssynchrony parameters. In this paper, we investigate the performance of two algorithms, respiratory blur modeling (RBM) and joint motion-compensated (JMC) ordered-subsets expectation maximization (OSEM), and the effects of motion compensation on cardiac-gated MP-SPECT studies. Image acquisitions were carried out with a dual-detector SPECT/CT system in list-mode format. A cardiac phantom was imaged as stationary and under respiratory motion. The images were reconstructed with OSEM, RBM-OSEM, and JMC-OSEM algorithms, and compared in terms of mean squared error (MSE). Subsequently, MP-SPECT data of 19 patients were binned into dual-gated (respiratory and cardiac gating) projection images. The images of the patients were analyzed with Quantitative Gated SPECT (QGS) 2012 program (Cedars-Sinai Medical Center, USA). The parameters of interest were LV volumes, ejection fraction, wall motion, wall thickening, phase analysis, and perfusion parameters. In phantom experiment, compared to the stationary OSEM reconstruction, the MSE values for OSEM, RBM-OSEM, and JMC-OSEM were 8.5406·10−5,2.7190·10−5, and 2.0795·10−5, respectively. In the analysis of LV function, use of JMC had a small but statistically significant (p < 0.05) effect on several parameters: it increased LV volumes and standard deviation of phase angle histogram, and it decreased ejection fraction, global wall motion, and lateral, septal, and apical perfusion. Compared to standard OSEM algorithm, RBM-OSEM and JMC-OSEM both improve image quality under motion. Motion compensation has a minor effect on LV functional parameters.

中文翻译：

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保留呼吸运动补偿数据对门控心肌灌注SPECT中评估的左心室功能参数的影响

呼吸运动会损害心肌灌注（MP）单光子发射计算机断层扫描（SPECT）成像中的图像质量，并可能影响对左心室（LV）功能参数的分析，包括相位分析量化的机械不同步参数。在本文中，我们研究了呼吸模糊建模（RBM）和关节运动补偿（JMC）有序子集期望最大化（OSEM）两种算法的性能，以及运动补偿对门控MP-SPECT研究的影响。用双检测器SPECT / CT系统以列表模式格式进行图像采集。心脏幻像成像为静止且处于呼吸运动下。使用OSEM，RBM-OSEM和JMC-OSEM算法重建图像，并根据均方误差（MSE）进行比较。后来，将19位患者的MP-SPECT数据合并为双门（呼吸门和心脏门）投影图像。使用定量门控SPECT（QGS）2012程序（美国雪松-西奈医学中心）分析患者的图像。感兴趣的参数是左室容积，射血分数，壁运动，壁增厚，相分析和灌注参数。在幻像实验中，与固定OSEM重建相比，OSEM，RBM-OSEM和JMC-OSEM的MSE值分别为8.5406·10-5、2.7190·10-5和2.0795·10-5。在左室功能分析中，JMC的使用对几个参数的影响较小，但在统计学上显着（p <0.05）：增加左室体积和相角直方图的标准偏差，并降低射血分数，整体壁运动和横向，中隔和顶端灌注。与标准的OSEM算法相比，RBM-OSEM和JMC-OSEM均可提高运动图像质量。运动补偿对LV功能参数影响较小。