Feasibility of software-based real-time calibration of multi-gigabit PET data

D. Freese, D. Hsu, D. Innes, C. Levin
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Abstract

Positron Emission Tomography (PET) imaging of the breast has the potential to play a role in the detection, diagnosis, staging, guiding surgical resection, and monitoring of therapy for breast cancer. Of these potential roles, producing images at near or real-time is especially important to guide surgical resection and biopsy. This task becomes more difficult in systems with large numbers of detectors and channels. We are constructing a two-panel clinical PET system dedicated to imaging the breast that has 294,912 LYSO crystals read out by 4608 Position-Sensitive Avalanche Photodiodes (PSAPD). The system will read out data using UDP over six gigabit ethernet ports with a maximum predicted data rate of 456MBps for clinical settings. We discuss software considerations for receiving data since UDP does not guarantee transmission. We implement a dual-threaded design for receiving then processing raw data from the system. This model shows 0.037 ± 0.004 % data loss at 240MBps. This rate is the maximum for the current two gigabit ethernet cable setup. We extend and test data loss of the dual-threaded model by adding additional processing of raw data in the second thread. The processing of raw data produces calibrated data with an accurate timestamp, energy, and position in real-time. We show negligible (<; 0.0001 %) loss at or below 60MBps. There, however, is a steady increase in loss with increasing data rate up to 45.9 ± 0.6 % loss at 240MBps. We conclude, that barring upgrades to our current data acquisition computer, we need to produce calibrated data from saved raw data after the scan, which can be done quickly without the constraint of minimizing data loss.
基于软件的多千兆PET数据实时标定的可行性
乳房正电子发射断层扫描(PET)成像在乳腺癌的检测、诊断、分期、指导手术切除和监测治疗方面具有潜在的作用。在这些潜在的作用中,产生近距离或实时的图像对指导手术切除和活检尤为重要。在具有大量检测器和通道的系统中,这项任务变得更加困难。我们正在构建一个专用于乳房成像的双面板临床PET系统,该系统由4608个位置敏感雪崩光电二极管(PSAPD)读取294,912个LYSO晶体。该系统将通过6千兆以太网端口使用UDP读取数据,临床设置的最大预测数据速率为456MBps。我们讨论接收数据的软件考虑,因为UDP不保证传输。我们实现了双线程设计,用于接收和处理来自系统的原始数据。该模型在240MBps时数据丢失0.037±0.004%。这个速率是目前2千兆以太网电缆设置的最大速率。我们通过在第二个线程中添加对原始数据的额外处理来扩展和测试双线程模型的数据丢失。原始数据的处理产生校准数据,具有准确的时间戳、能量和实时位置。可以忽略不计(<;0.0001%)的损耗在60MBps或以下。然而,随着数据速率的增加,损耗稳步增加,在240MBps时损耗高达45.9±0.6%。我们得出的结论是,除非对当前的数据采集计算机进行升级,否则我们需要在扫描后从保存的原始数据中生成校准数据,这可以在不受最小化数据丢失限制的情况下快速完成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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