Medical Physics Unit, Department of Oncology, Faculty of Medicine, McGill University, Montreal, Quebec, Canada.
Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Québec, Canada.
Phys Med Biol. 2023 May 30;68(11). doi: 10.1088/1361-6560/acd430.
Dynamic positron emission tomography (dPET) requires the acquisition of the arterial input function (AIF), conventionally obtained via invasive arterial blood sampling. To obtain the AIF non-invasively, our group developed and combined two novel solutions consisting of (1) a detector, placed on a patient's wrist during the PET scans to measure the radiation leaving the wrist and (2) a Geant4-based Monte Carlo simulation software. The simulations require patient-specific wrist geometry. The aim of this study was to develop a graphical user interface (GUI) allowing the user to import 2D ultrasound scans of a patient's wrist, and measure the wrist features needed to calculate the AIF.The GUI elements were implemented using Qt5 and VTK-8.2.0. The user imports a patient's wrist ultrasound scans, measures the radial artery and veins' surface and depth to model a wrist phantom, then specifies the radioactive source used during the dPET scan. The phantom, the source, and the number of decay events are imported into the Geant4-based Monte Carlo software to run a simulation. In this study, 100 million decays ofF andGa were simulated in a wrist phantom designed based on an ultrasound scan. The detector's efficiency was calculated and the results were analyzed using a clinical data processing algorithm developed in a previous study.The detector's total efficiency decreased by 3.5% forF and by 51.7% forGa when using a phantom based on ultrasound scans compared to a generic wrist phantom. Similarly, the data processing algorithm's accuracy decreased when using the patient-specific phantom, giving errors greater than 1.0% for both radioisotopes.This toolkit enables the user to run Geant4-based Monte Carlo simulations for dPET detector development applications using a patient-specific wrist phantom. Leading to a more precise simulation of the developed detector during dPET and the calculation of a personalized AIF.
动态正电子发射断层扫描(dPET)需要获取动脉输入函数(AIF),传统上通过有创动脉采血获得。为了非侵入性地获取 AIF,我们的团队开发并结合了两种新的解决方案,包括(1)一个探测器,在 PET 扫描期间放置在患者手腕上,以测量离开手腕的辐射,(2)一个基于 Geant4 的蒙特卡罗模拟软件。模拟需要患者特定的手腕几何形状。本研究的目的是开发一个图形用户界面(GUI),允许用户导入患者手腕的 2D 超声扫描,并测量计算 AIF 所需的手腕特征。GUI 元素使用 Qt5 和 VTK-8.2.0 实现。用户导入患者手腕的超声扫描,测量桡动脉和静脉的表面和深度,以建模手腕模型,然后指定在 dPET 扫描期间使用的放射性源。将模型、源和衰变事件的数量导入基于 Geant4 的蒙特卡罗软件中以运行模拟。在这项研究中,在基于超声扫描设计的手腕模型中模拟了 1 亿个 F 和 Ga 的衰变。计算了探测器的效率,并使用先前研究中开发的临床数据处理算法分析了结果。与通用手腕模型相比,使用基于超声扫描的模型时,F 的探测器总效率降低了 3.5%,Ga 的探测器总效率降低了 51.7%。同样,当使用特定于患者的模型时,数据处理算法的准确性降低,两种放射性同位素的误差都大于 1.0%。该工具包使用基于患者特定手腕模型的特定患者的探测器开发应用程序运行基于 Geant4 的蒙特卡罗模拟,从而更精确地模拟开发中的探测器并计算个性化的 AIF。