Salvadori Julien, Labour Joey, Odille Freddy, Marie Pierre-Yves, Badel Jean-Noël, Imbert Laëtitia, Sarrut David
IADI, INSERM UMR 1254, Université de Lorraine, Nancy, France.
Département de médecine nucléaire et plateforme Nancyclotep, CHRU-Nancy, Université de Lorraine, Nancy, France.
EJNMMI Phys. 2020 Apr 25;7(1):23. doi: 10.1186/s40658-020-00288-w.
A GATE Monte Carlo model of the Philips Vereos digital photon counting PET imaging system using silicon photo-multiplier detectors was proposed. It was evaluated against experimental data in accordance with NEMA guidelines. Comparisons were performed using listmode data in order to remain independent of image reconstruction algorithms. An original line of response-based method is proposed to estimate intrinsic spatial resolution without reconstruction. Four sets of experiments were performed: (1) count rates and scatter fraction, (2) energy and timing resolutions, (3) sensitivity, and (4) intrinsic spatial resolution. Experimental and simulated data were found to be in good agreement, with overall differences lower than 10% for activity concentrations used in most standard clinical applications. Illustrative image reconstructions were provided. In conclusion, the proposed Monte Carlo model was validated and can be used for numerous studies such as optimizing acquisition parameters or reconstruction algorithms.
提出了一种使用硅光电倍增管探测器的飞利浦Vereos数字光子计数PET成像系统的GATE蒙特卡罗模型。根据NEMA指南，将其与实验数据进行了评估。使用列表模式数据进行比较，以保持与图像重建算法无关。提出了一种基于响应线的原始方法来估计无需重建的固有空间分辨率。进行了四组实验：（1）计数率和散射分数，（2）能量和时间分辨率，（3）灵敏度，以及（4）固有空间分辨率。实验数据和模拟数据吻合良好，对于大多数标准临床应用中使用的活度浓度，总体差异低于10%。提供了说明性的图像重建。总之，所提出的蒙特卡罗模型得到了验证，可用于许多研究，如优化采集参数或重建算法。
