基于GPU的蒙特卡洛模拟平台的医学传输和排放断层扫描
Yujie Chi1, Keith Schubert2, Andreu Badal3
1Department of Physics, The University of Texas at Arlington, Arlington, TX, United States of America.
Physics in medicine and biology
|August 20, 2025
概括
图形处理单元 (GPU) 的加速显著提高了医疗断层扫描的蒙特卡洛 (MC) 模拟,比传统方法提高100-1000倍. 未来的研究应该集中在硬件可移植性和模块化代码上,以满足不断变化的模拟需求.
科学领域:
- 医学成像物理
- 计算科学
- 医学物理
背景情况:
- 蒙特卡洛 (MC) 模拟对于医学断层扫描中的复杂物理模型至关重要.
- 图形处理单元 (GPU) 的并行计算为MC模拟提供了显著的性能优势.
- 在GPU技术和断层扫描方面的进步需要更新的模拟方法.
研究的目的:
- 在各种断层扫描模式中审查最新的GPU加速MC模拟.
- 突出目前的成就,并确定基于GPU的TM模拟的欠发达领域.
- 为医学成像研究人员和从业人员提供见解.
主要方法:
- 对计算机断层扫描 (CT),圆光束CT (CBCT),正电子发射断层扫描 (PET) 和其他方法的技术发展进行全面审查.
- 检查MC模拟方法,基于CPU的平台和GPU加速策略.
- 分析GPU硬件演变和领先的基于GPU的MC模拟包.
主要成果:
- 与MC模拟的CPU实现相比,GPU提供100-1000倍的加速度.
- 新兴的GPU功能 (射线追踪核心,张量核心) 提供了进一步的性能增强机会.
- 在断层扫描和MC模拟技术方面取得了重大进展.
结论:
- 基于GPU的MC模拟对于医疗发射和传输断层扫描的发展至关重要.
- 未来的研究应该专注于硬件可移植性和GPU-MC代码的模块化,用于新应用,如合成数据生成和数字双胞胎.
- 优化GPU模拟是支持医疗断层扫描和新兴医疗技术发展的关键.
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