UIH America Inc., Houston, Texas
United Imaging Healthcare, Shanghai, China.
J Nucl Med. 2021 May 10;62(5):738-744. doi: 10.2967/jnumed.119.238113. Epub 2020 Sep 18.
Parametric imaging has been shown to provide better quantitation physiologically than SUV imaging in PET. With the increased sensitivity from a recently developed total-body PET scanner, whole-body scans with higher temporal resolution become possible for dynamic analysis and parametric imaging. In this paper, we focus on deriving the parameter using compartmental modeling and on developing a method to acquire whole-body F-FDG PET parametric images using only the first 90 s of the postinjection scan data with the total-body PET system. Dynamic projections were acquired with a time interval of 1 s for the first 30 s and a time interval of 2 s for the following minute. Image-derived input functions were acquired from the reconstructed dynamic sequences in the ascending aorta. A 1-tissue-compartment model with 4 parameters (, , blood fraction, and delay time) was used. A maximum-likelihood-based estimation method was developed with the 1-tissue-compartment model solution. The accuracy of the acquired parameters was compared with the ones estimated using a 2-tissue-compartment irreversible model with 1-h-long data. All 4 parametric images were successfully calculated using data from 2 volunteers. By comparing the time-activity curves acquired from the volumes of interest, we showed that the parameters estimated using our method were able to predict the time-activity curves of the early dynamics of F-FDG in different organs. The delay-time effects for different organs were also clearly visible in the reconstructed delay-time image with delay variations of as large as 40 s. The estimated parameters using both 90-s data and 1-h data agreed well for and blood fraction, whereas a large difference in was found between the 90-s and 1-h data, suggesting cannot be reliably estimated from the 90-s scan. We have shown that with total-body PET and the increased sensitivity, it is possible to estimate parametric images based on the very early dynamics after F-FDG injection. The estimated might potentially be used clinically as an indicator for identifying abnormalities.
参数成像已被证明在 PET 中比 SUV 成像在生理学上提供更好的定量。由于最近开发的全身 PET 扫描仪的灵敏度提高,全身扫描具有更高的时间分辨率,可用于动态分析和参数成像。在本文中,我们专注于使用房室模型推导参数,并开发一种仅使用全身 PET 系统注射后扫描数据的前 90 秒来获取全身 F-FDG PET 参数图像的方法。动态投影以 1 s 的时间间隔采集前 30 s,以 2 s 的时间间隔采集随后的 1 分钟。图像衍生的输入功能是从升主动脉的重建动态序列中获得的。使用 4 参数(,,血液分数和延迟时间)的 1 组织房室模型。使用基于最大似然的估计方法开发了 1 组织房室模型解。使用具有 1 小时长数据的 2 组织房室不可逆模型估计的参数来比较获得的参数的准确性。使用来自 2 个志愿者的数据成功计算了所有 4 个参数图像。通过比较从感兴趣区域获得的时间活动曲线,我们表明,使用我们的方法估计的参数能够预测不同器官中 F-FDG 的早期动力学的时间活动曲线。不同器官的延迟时间效应在延迟变化高达 40 s 的重建延迟时间图像中也清晰可见。使用 90 秒数据和 1 小时数据估计的参数对于和血液分数非常吻合,而在 90 秒和 1 小时数据之间发现了很大的差异,表明从 90 秒扫描中无法可靠地估计。我们已经表明,使用全身 PET 和提高的灵敏度,可以基于 F-FDG 注射后非常早期的动力学来估计参数图像。估计的参数可能有潜力作为识别异常的指标在临床上使用。