使用长轴视场 PET/CT 扫描仪进行基于 CT 和 LSO-TX 的衰减校正的超低剂量 PET 扫描方案的可行性

Hasan Sari, Mohammadreza Teimoorisichani, Marco Viscione, Clemens Mingels, Robert Seifert, Kuangyu Shi, Michael Morris, Eliot Siegel, Babak Saboury, Thomas Pyka, Axel Rominger
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引用次数: 0

摘要

长轴视场(LAFOV) PET扫描仪能够大幅降低注射放射性示踪剂活性,同时保持临床可行的扫描时间。进行PET衰减校正的全身CT扫描可显著增加总辐射暴露。我们研究了一种超低剂量PET方案的可行性,以及一种无需ct的PET衰减校正方法(氧化硅酸镥背景透射[LSO-TX])的应用,该方法使用来自探测器闪烁体的176Lu背景辐射和低计数PET数据。方法:采用超低剂量18F-FDG(注射活性,6.7-9.0 MBq),采用LAFOV PET扫描仪对4名研究对象进行扫描90 min。采用基于低剂量ct和基于lso - tx的衰减图(μ图)重建不同帧时长的PET图像。通过肝脏的信噪比(SNR)和大脑的对比噪比来评估PET图像的图像质量。对基于lso - tx和基于ct的μ图重建的PET图像在各扫描时段的绝对误差进行了评估。结果:视觉评估显示,使用低于10 MBq(即0.1 MBq/kg)的18F-FDG活性获得的20-30分钟PET数据可以产生高质量的图像。基于ct和基于lso - tx的μ图重建的PET图像在所有扫描时间内具有相当的信噪比和噪比。基于ct和lso - tx的μ图重建PET图像的平均±SD信噪比在扫描时间90 min时分别为9.2±1.9 dB和9.8±2.0 dB,在扫描时间30 min时分别为6.8±1.7 dB和6.9±1.8 dB,在扫描时间20 min时分别为5.5±1.2 dB和5.6±1.2 dB。在20分钟扫描时间内,基于lso - tx和基于ct的μ图重建的PET图像的相对绝对SUV误差在3.1% ~ 6.4%之间。结论:使用LAFOV扫描仪进行PET扫描,在20-30分钟的扫描时间内,18F-FDG活性低于10 MBq,保持了良好的视觉图像质量。基于lso - tx的衰减校正方法所获得的图像与此类协议中基于ct的衰减校正方法所获得的图像相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feasibility of an Ultra-Low-Dose PET Scan Protocol with CT-Based and LSO-TX–Based Attenuation Correction Using a Long–Axial-Field-of-View PET/CT Scanner

Long–axial-field-of-view (LAFOV) PET scanners enable substantial reduction in injected radiotracer activity while maintaining clinically feasible scan times. Whole-body CT scans performed for PET attenuation correction can significantly add to total radiation exposure. We investigated the feasibility of an ultra-low-dose PET protocol and the application of a CT-less PET attenuation correction method (lutetium oxyorthosilicate background transmission [LSO-TX]) that uses 176Lu background radiation from detector scintillators with low-count PET data. Methods: Each of the 4 study subjects was scanned for 90 min using an ultra-low-dose 18F-FDG protocol (injected activity, 6.7–9.0 MBq) with an LAFOV PET scanner. PET images were reconstructed with different frame durations using low-dose CT-based and LSO-TX–based attenuation maps (μ-maps). The image quality of PET images was assessed by the signal-to-noise ratio (SNR) in the liver and the contrast-to-noise ratio in the brain. Absolute errors in SUVs between PET images reconstructed with LSO-TX–based and CT-based μ-maps were assessed at each scan duration. Results: Visual assessment showed that 20–30 min of PET data obtained using 18F-FDG activities below 10 MBq (i.e., 0.1 MBq/kg) can yield high-quality images. PET images reconstructed with CT-based and LSO-TX–based μ-maps had comparable SNRs and contrast-to-noise ratios at all scan durations. The mean ± SD SNRs of PET images reconstructed with the CT-based and the LSO-TX–based μ-maps were 9.2 ± 1.9 dB and 9.8 ± 2.0 dB at 90-min scan duration, 6.8 ± 1.7 dB and 6.9 ± 1.8 dB at 30-min scan duration, and 5.5 ± 1.2 dB and 5.6 ± 1.2 dB at 20-min scan duration, respectively. The relative absolute SUV errors between PET images reconstructed with LSO-TX–based and CT-based μ-maps ranged from 3.1% to 6.4% across different volumes of interest with a 20-min scan duration. Conclusion: PET scans with an LAFOV scanner maintained good visual image quality with 18F-FDG activities below 10 MBq for scan durations of 20–30 min. The LSO-TX–based attenuation correction method yielded images comparable to those obtained with the CT-based attenuation correction method in such protocols.

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