The purpose of this work was to propose an approach based on noise measurement to adapt present clinical acquisition and reconstruction parameters adapted to a PMT-based system (Biograph mCT) to a SiPM-based system (Biograph Vision 450) sharing identical geometrical properties. The NEMA performance (NEMA) of the recently released Biograph Vision 450 PET/CT (Vision) was also derived. All measurements were conducted on Vision and Biograph mCT with TrueV (mCT). A full NEMA-based performance was derived for Vision only. The adaptation of acquisition and reconstruction parameters from mCT to Vision was done using the NEMA image quality phantom. The noise level reached using mCT was set as the reference value for six different numbers of net true coincidences. The noise level computed using Vision was matched to the reference noise level (within 0.01%) using a different reconstruction set-up to determine the potential reduction of count numbers for the same noise level. Vision sensitivity was 9.1 kcps/MBq for a timing resolution of 213 ps at 5.3 kBq/mL. The NEMA-based CR for the 10-mm sphere was better than 75% regardless the reconstruction set-up studied. The mCT reference noise properties could be achieved using Vision with a scan time reduction (STR) of 1.34 with four iterations and a 440 × 440 matrix size (or STR = 1.89 with a 220 × 220 matrix size) together with a 3D CR improvement of 53% for the 10-mm sphere (24% using 220 × 220). The Vision exhibited improved NEMA performances compared to mCT. Using the proposed approach, the time acquisition could be divided by almost two, while keeping the same noise properties as that of mCT with a marked improvement of contrast recovery.

中文翻译：

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从基于PMT的系统到基于SiPM的PET系统：一项旨在定义匹配的采集/重建参数和Biograph Vision 450的NEMA性能的研究。

这项工作的目的是提出一种基于噪声测量的方法，以将适用于基于PMT的系统（Biograph mCT）的当前临床采集和重建参数调整为具有相同几何特性的基于SiPM的系统（Biograph Vision 450）。还得出了最近发布的Biograph Vision 450 PET / CT（Vision）的NEMA性能（NEMA）。所有测量均在带有TrueV（mCT）的Vision和Biograph mCT上进行。完整的基于NEMA的性能仅适用于Vision。使用NEMA图像质量体模将mCT的采集和重建参数进行调整。使用mCT达到的噪声级别被设置为六种不同数量的净真实重合的参考值。使用Vision计算的噪音水平与参考噪音水平相匹配（在0之内。01％）使用不同的重建设置来确定相同噪声水平下计数的潜在减少量。视觉灵敏度为9.1 kcps / MBq，时序分辨率为5.3 kBq / mL时为213 ps。无论研究的重建设置如何，基于NEMA的10毫米球面CR均优于75％。使用Vision可以实现mCT参考噪声属性，其Vision的扫描时间减少量（STR）为1.34，经过四次迭代，矩阵尺寸为440×440（或STR = 1.89，矩阵尺寸为220×220），并且3D CR改进为10毫米球面为53％（使用220×220时为24％）。与mCT相比，Vision的NEMA性能有所提高。使用所提出的方法，可以将时间采集几乎除以2，同时保持与mCT相同的噪声属性，并显着提高对比度恢复能力。