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评估使用和不使用帧频调整衰减图进行动态铷-82 心脏 PET 运动校正,以计算心肌血流。

Assessment of motion correction in dynamic rubidium-82 cardiac PET with and without frame-by-frame adjustment of attenuation maps for calculation of myocardial blood flow.

机构信息

Nuclear Medicine, Manchester University NHS Foundation Trust, Oxford Road, Manchester, UK.

Siemens Medical Solutions USA, Inc, Molecular Imaging, Knoxville, TN, USA.

出版信息

J Nucl Cardiol. 2021 Aug;28(4):1334-1346. doi: 10.1007/s12350-019-01834-5. Epub 2019 Aug 6.

Abstract

BACKGROUND

Patient motion during pharmacological stressing can have substantial impact on myocardial blood flow (MBF) estimated from dynamic PET. This work evaluated a motion correction algorithm with and without adjustment of the PET attenuation map.

METHODS

Frame-by-frame motion correction was performed by three users on 30 rubidium-82 studies. Data were divided equally into three groups of motion severity [mild (M1), moderate (M2) and severe (M3)]. MBF data were compared for non-motion corrected (NC), motion-corrected-only (MC) and with adjustment of the attenuation map (MCAC). Percentage differences of MBF were calculated in the coronary territories and 17-segment polar plots. Polar plots of spill-over were also generated from the data.

RESULTS

Median differences of 23% were seen in the RCA and 18% for the LAD in the M3 category for MC vs NC images. Differences for MCAC vs MC images were considerably smaller and typically < 10%. Spill-over plots for MC and MCAC were notably more uniform compared with NC images.

CONCLUSION

Motion correction for dynamic rubidium data is desirable for future MBF software updates. Adjustment of the PET attenuation map results in only marginal differences and therefore is unlikely to be an essential requirement. Assessing the uniformity of spill-over plots is a useful visual aid for verifying motion correction techniques.

摘要

背景

在动态 PET 中,药物应激期间的患者运动对心肌血流(MBF)的估计有很大影响。这项工作评估了一种带和不带 PET 衰减图校正的运动校正算法。

方法

三位用户对 30 项铷-82 研究进行了逐帧运动校正。数据平均分为三组运动严重程度[轻度(M1)、中度(M2)和重度(M3)]。比较了未经运动校正(NC)、仅运动校正(MC)和校正衰减图(MCAC)的 MBF 数据。计算了冠状血管区域和 17 段极坐标图中 MBF 的百分比差异。还从数据中生成了溢出的极坐标图。

结果

在 M3 组中,MC 与 NC 图像相比,RCA 和 LAD 的中位数差异分别为 23%和 18%。MCAC 与 MC 图像的差异要小得多,通常<10%。与 NC 图像相比,MC 和 MCAC 的溢出图明显更加均匀。

结论

对于未来的 MBF 软件更新,动态铷数据的运动校正很有必要。校正 PET 衰减图只会导致微小的差异,因此不太可能是必需的。评估溢出图的均匀性是验证运动校正技术的有用视觉辅助工具。

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