Real-time marker-less tumor tracking with TOF PET:in silicofeasibility study.

Real-time marker-less tumor tracking with TOF PET:in silicofeasibility study.
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TOF PET实时无标记肿瘤跟踪的可行性研究。

DOI:
10.1088/1361-6560/ac6d9f
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发表时间:
2022-05-26
影响因子:
3.5
通讯作者:
Shao, Yiping
Shao, Yiping
中科院分区:
工程技术2区
文献类型:
--
作者:
Cheng, Xinyi;Yang, Dongxu;Zhong, Yuncheng;Shao, Yiping

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虽然正电子发射断层扫描(PET)可以为RT引导提供静态肿瘤的功能图像,但传统上PET以多帧/秒的采样率实时跟踪运动肿瘤是非常具有挑战性的。在这项研究中,我们开发了一种新的方法来实现基于PET的三维(3D)实时无标记肿瘤跟踪(RMTT),并通过仿真研究证明了其可行性。对于每个获得的响应线(LOR),其正电子湮灭位置是基于TOF PET探测器探测到的两个伽马相互作用之间的时间差计算的。从单个采样帧内获得的数据中积累这些湮灭位置,形成了一个粗略测量的正电子发射器放射性示踪剂摄取肺肿瘤和其他器官和组织的3D分布(背景)。根据临床相关的肿瘤大小和肿瘤与背景之间的足够差异的放射性示踪剂摄取浓度,在测量的放射性示踪剂摄取分布中,可以将高摄取的肿瘤与周围低摄取的背景区分开来。当兴趣体积(volume-of-interest, VOI)紧密包围肿瘤时,可以计算出VOI内湮灭位置的计数加权质心作为肿瘤位置。所有这些数据处理都可以在线进行。利用模拟心躯干数字幻影和固定式双面板TOF PET检测器对直径为28 mm、肿瘤与背景18FDG活性浓度比为4:1的肺肿瘤进行跟踪,研究了新方法的可行性。初步研究表明,在模拟条件下,基于TOF PET的RMTT在5帧s−1采样率下可以达到<2.0 mm的肿瘤跟踪精度。相比之下,使用重建的PET图像来跟踪类似大小的肿瘤,需要bbb30 s的采集时间才能达到相同的跟踪精度。经过验证,新方法可使基于TOF PET的RMTT应用于实际RT应用。
Although positron emission tomography (PET) can provide a functional image of static tumors for RT guidance, it’s conventionally very challenging for PET to track a moving tumor in real-time with a multiple frame/s sampling rate. In this study, we developed a novel method to enable PET based three-dimension (3D) real-time marker-less tumor tracking (RMTT) and demonstrated its feasibility with a simulation study. For each line-of-response (LOR) acquired, its positron-electron annihilation position is calculated based on the time difference between the two gamma interactions detected by the TOF PET detectors. The accumulation of these annihilation positions from data acquired within a single sampling frame forms a coarsely measured 3D distribution of positron-emitter radiotracer uptakes of the lung tumor and other organs and tissues (background). With clinically relevant tumor size and sufficient differential radiotracer uptake concentrations between the tumor and background, the high-uptake tumor can be differentiated from the surrounding low-uptake background in the measured distribution of radiotracer uptakes. With a volume-of-interest (VOI) that closely encloses the tumor, the count-weighted centroid of the annihilation positions within the VOI can be calculated as the tumor position. All these data processes can be conducted online. The feasibility of the new method was investigated with a simulated cardiac-torso digital phantom and stationary dual-panel TOF PET detectors to track a 28 mm diameter lung tumor with a 4:1 tumor-to-background 18FDG activity concentration ratio. The initial study shows TOF PET based RMTT can achieve <2.0 mm tumor tracking accuracy with 5 frame s−1 sampling rate under the simulated conditions. In comparison, using reconstructed PET images to track a similar size tumor would require >30 s acquisition time to achieve the same tracking accuracy. With the demonstrated feasibility, the new method may enable TOF PET based RMTT for practical RT applications.
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