Key Laboratory of Beam Technology of Ministry of Education, College of Nuclear Science and Technology, Beijing Normal University, Beijing, People's Republic of China.
School of Artificial Intelligence, Beijing Normal University, Beijing, People's Republic of China.
Phys Med Biol. 2023 Jul 10;68(14). doi: 10.1088/1361-6560/acdfaf.
This paper presents a simulation study to demonstrate that the contrast recovery coefficients (CRC) and detectability of small lesions of a one-meter-long positron emission tomography (PET) scanner can be further enhanced by the integration of high resolution virtual-pinhole (VP) PET devices. The scanner under investigation is a Siemens Biograph Vision Quadra which has an axial field-of-view (FOV) of 106 cm. The VP-PET devices contain two high-resolution flat panel detectors, each composed of 2 × 8 detector modules each of which consists of 32 × 64 lutetium-oxyorthosilicate crystals (1.0 × 1.0 × 10.0 mmeach). Two configurations for the VP-PET device placement were evaluated: (1) place the two flat-panel detectors at the center of the scanner's axial FOV below the patient bed; (2) place one flat-panel detector at the center of the first and the last quarter of the scanner's axial FOV below the patient bed. Sensitivity profiles were measured by moving a pointNa source stepwise across the scanner's FOV axially at different locations. To assess the improvement in CRC and lesion detectability by the VP-PET devices, an elliptical torso phantom (31.6 × 22.8 × 106 cm) was first imaged by the native scanner then subsequently by the two VP-PET geometry configurations. Spherical lesions (4 mm in diameter) having 5:1 lesion-to-background radioactivity concentration ratio were grouped and placed at nine regions in the phantom to analyze the dependence of the improvement in plane. Average CRCs and their standard deviations of the 7 tumors in each group were computed and the receiver operating characteristic (ROC) curves were drawn to evaluate the improvement in lesion detectability by the VP-PET device over the native long axial PET scanner. The fraction of coincidence events between the inserts and the scanner detectors was 13%-16% (out of the total number of coincidences) for VP-PET configuration 1 and 2, respectively. The VP-PET systems provide higher CRCs for lesions in all regions in the torso, with more significant enhancement at regions closer to the inserts, than the native scanner does. For any given false positive fraction, the VP-PET systems offer higher true positive fraction compared to the native scanner. This work provides a potential solution to further enhance the image resolution of a long axial FOV PET scanner to maximize its lesion detectability afforded by its super high effective sensitivity.
本文通过模拟研究表明,通过集成高分辨率虚拟孔(VP)PET 设备,可以进一步提高 1 米长正电子发射断层扫描(PET)扫描仪的对比恢复系数(CRC)和小病灶的检测能力。所研究的扫描仪是一台西门子 Biograph Vision Quadra,其轴向视野(FOV)为 106cm。VP-PET 设备包含两个高分辨率平板探测器,每个探测器由 2×8 个探测器模块组成,每个模块由 32×64 个硅酸镥晶体组成(每个晶体为 1.0×1.0×10.0mm)。评估了两种 VP-PET 设备放置配置:(1)将两个平板探测器放置在患者床下方扫描仪轴向 FOV 的中心;(2)将一个平板探测器放置在患者床下方扫描仪轴向 FOV 的第一和最后四分之一的中心。通过在不同位置沿轴向逐步移动点 Na 源来测量灵敏度分布。为了评估 VP-PET 设备对 CRC 和病灶检测能力的改善,首先使用原生扫描仪对一个椭圆体体模(31.6×22.8×106cm)进行成像,然后使用两种 VP-PET 几何配置进行成像。将具有 5:1 病灶与背景放射性浓度比的球形病灶(直径 4mm)分组并放置在体模的九个区域,以分析平面改善的依赖性。计算每组 7 个肿瘤的平均 CRC 和标准偏差,并绘制接收器工作特性(ROC)曲线,以评估 VP-PET 设备相对于原生长轴向 PET 扫描仪对病灶检测能力的改善。对于 VP-PET 配置 1 和 2,插入物与扫描仪探测器之间的符合事件的分数分别为 13%-16%(总符合事件数的一部分)。VP-PET 系统为体模所有区域的病灶提供了更高的 CRC,与原生扫描仪相比,更靠近插入物的区域增益更显著。对于任何给定的假阳性分数,VP-PET 系统提供的真阳性分数都高于原生扫描仪。这项工作为进一步提高长轴向 FOV PET 扫描仪的图像分辨率提供了一种潜在的解决方案,以最大限度地提高其超高效灵敏度提供的病灶检测能力。