在一个质子计算机断层扫描模拟框架中探索可微分性的探索
Max Aehle1, Johan Alme2, Gergely Gábor Barnaföldi3
1Chair for Scientific Computing, University of Kaiserslautern-Landau, D-67663 Kaiserslautern, Germany.
Physics in medicine and biology
|November 10, 2023
概括
来自质子计算机断层扫描 (pCT) 模拟的衍生信息显示,对工程设计和不确定性量化有希望. 然而,基于模型的代重建和蒙特卡洛代码的显著跳跃限制了实际应用.
科学领域:
- 医学物理 医学物理
- 计算科学 计算科学
- 软件工程 软件工程 软件工程
背景情况:
- 算法衍生使得基于梯度的优化和计算机模拟中的不确定性定量化成为可能.
- 这些基于导数的方法的有效性取决于软件的"良好线性化"性质.
- 质子计算机断层扫描 (pCT) 模拟越来越多地被使用,需要评估它们是否适合基于衍生品的分析.
结论:
- 现有的MC和MBIR代码需要适应更顺的函数计算,以实现基于衍生品的应用程序.
- 介绍了一种平滑MBIR功能的方法; MC代码适应需要进一步研究.
- 追踪算法的非可区分性质需要研究替代模型.
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