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基于云的无服务器计算使核医学成像加速蒙特卡洛模拟成为可能

Reimund Bayerlein^1,2, Vivek Swarnakar², Aaron Selfridge¹

¹Department of Biomedical Engineering, University of California Davis, Davis, CA, United States of America.

Biomedical physics & engineering express

|June 14, 2024

概括

无服务器云计算显著加速核医学成像的蒙特卡洛 (MC) 模拟. 这种方法比传统服务器提供了相当大的加速,使复杂的模拟更有效地用于研究.

科学领域:

医疗成像医学成像
计算科学计算科学
云计算云计算云计算

背景情况:

蒙特卡洛 (MC) 模拟是核医学成像任务的计算密集型.
传统的多核服务器与MC模拟的高计算负担作斗争.
云计算为这些模拟提供了并行和加速这些模拟的潜力.

研究的目的:

调查基于云的无服务器计算在核医学成像中加速MC模拟的有效性.
评估亚马逊网络服务 (AWS) 兰巴达对MC模拟放射性衰变在正子发射断层扫描 (PET) 的性能.
将AWS Lambda的计算性能与现代的本地多线程重建服务器进行比较.

主要方法:

利用AWS Lambda无服务器平台运行用于PET成像的MC模拟.
在AWS环境中使用容器化应用程序部署了SimSET和GATE MC模拟框架.
编排的并行运行在并发的AWS Lambda实例上,并通过AWS简单存储服务 (S3) 处理结果.
模拟10^5到2x10^10模拟衰变的模拟执行时间.

主要成果:

基于云的SimSET实现的性能超过了本地服务器计算的数量级.
在AWS上使用SimSET模拟10^9的衰变需要大约5分钟,成本为10美元.
盖特的实施导致了更大的输出文件,突出显示了互联网连接速度作为数据传输瓶.
与SimSET相比,GATE模拟需要超过100分钟,并且成本更高.

结论:

基于云的无服务器计算架构可以显著提高医疗成像研究中的处理时间和工作流效率.
在AWS Lambda上的SimSET为MC模拟提供了一种经济高效且快速的解决方案.
对优化配置和计算方法的进一步研究可以解锁基于云架构的额外好处.

关键词:

这是AWS的Lambda.门户门户门户蒙特卡洛模拟的蒙特卡洛模拟 SimSET SimSET 是一个模拟器.基于云计算的计算.计算效率的计算效率核医学成像技术核医学成像技术

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