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arXiv 2411.04785physics.ins-detphysics.comp-ph
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迈向严苛条件下的实时康普顿成像

Towards Real Time Compton Imaging in Demanding Conditions

Bernardo Gameiro, Jorge Lerendegui-Marco, Victor Babiano-Suarez, Javier Balibrea-Correa, Gabriel de la Fuente Rosales, Ion Ladarescu, Pablo Torres-Sánchez, César Domingo Pardo

AI总结:

针对高计数率下康普顿相机的实时成像需求,通过并行化事件预处理和3D反投影算法,并采用多种优化策略,在Intel和NVIDIA硬件上实现高效处理,为严苛条件下的实时成像提供可行方案。

摘要:

康普顿相机是一种基于康普顿散射效应提供γ射线源起源空间信息的辐射探测器。许多应用要求这些探测器在高计数率下使用。因此,探测的预处理以及成像算法需要具有时间效率,以便数据能够实时处理。在这项工作中,针对基于单片晶体的康普顿相机中事件预处理的优化,特别是事件识别,采用了一种可并行化的算法实现。在成像方面,一种成熟的3D反投影算法被并行化并使用SYCL实现。该算法的并行实现包括无优化和多种优化版本,例如预计算值、基于角度丢弃低影响贡献,以及选择图像宇宙的有效形状。这些实现分别在Intel CPU、GPU和NVIDIA GPU上进行了测试。此外,还展望了基于单片晶体的康普顿相机中交互位置重建算法研究,将其划分为分段区域以及其他后续步骤。

英文摘要:

Compton cameras are radiation detectors that provide spatial information on the origin of the γ-ray sources based on the Compton scattering effect. Many applications require these detectors to be used at high counting rate. As such, the preprocessing of the detections as well as the imaging algorithms are required to be time-efficient in order for the data to be processed in real time. In this work, optimizations to the preprocessing of events in Compton cameras based on monolithic crystals, with special focus on event identification, were implemented using a parallelizable algorithm. Regarding imaging, an established 3D back projection algorithm was parallelized and implemented using SYCL. The parallel implementation of the algorithm was included without and with several optimizations such as the pre-computing values, discarding low impact contributions based on angle, and selecting an efficient shape of the image universe. The implementations were tested with Intel CPUs, GPUs, and NVIDIA GPUs. An outlook into the study of algorithms to reconstruct the position of interaction within Compton cameras based on monolithic crystals into segmented regions and other next steps is included.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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