Patient motion constitutes a limitation to O-water cardiac PET imaging. We examined the ability of image readers to detect and correct patient motion using simulated motion data and clinical patient scans. Simulated data consisting of 16 motions applied to 10 motion-free scans were motion corrected using two approaches, pre-analysis and post-analysis for motion identification. Both approaches employed a manual frame-by-frame correction method. In addition, a clinical cohort was analyzed for assessment of prevalence and effect of motion and motion correction. Motion correction was performed on 94% (pre-analysis) and 64% (post-analysis) of the scans. Large motion artifacts were corrected in 91% (pre-analysis) and 74% (post-analysis) of scans. Artifacts in MBF were reduced in 56% (pre-analysis) and 58% (post-analysis) of the scans. The prevalence of motion in the clinical patient cohort (n = 762) was 10%. Motion correction altered exam interpretation in only 10 (1.3%) clinical patient exams. Frame-by-frame motion correction after visual inspection is useful in reducing motion artifacts in cardiac O-water PET. Reviewing the initial results (parametric images and polar maps) as part of the motion correction process, reduced erroneous corrections in motion-free scans. In a large clinical cohort, the impact of motion correction was limited to few patients.

中文翻译：

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动态 15O 水 PET MPI 中患者运动的检测和校正

患者运动构成了 O 水心脏 PET 成像的限制。我们检查了图像读取器使用模拟运动数据和临床患者扫描检测和纠正患者运动的能力。由应用于 10 个无运动扫描的 16 个运动组成的模拟数据使用两种方法（用于运动识别的预分析和后分析）进行运动校正。两种方法均采用手动逐帧校正方法。此外，还分析了临床队列，以评估运动和运动矫正的患病率和效果。对 94%（分析前）和 64%（分析后）的扫描进行了运动校正。91%（分析前）和 74%（分析后）的扫描中较大的运动伪影得到纠正。扫描中 MBF 中的伪影减少了 56%（分析前）和 58%（分析后）。临床患者队列 (n = 762) 中运动的发生率为 10%。运动校正仅在 10 例 (1.3%) 临床患者检查中改变了检查解释。目视检查后的逐帧运动校正有助于减少心脏 O 水 PET 中的运动伪影。作为运动校正过程的一部分，检查初始结果（参数图像和极坐标图），减少了无运动扫描中的错误校正。在大型临床队列中，运动矫正的影响仅限于少数患者。