KiT-RT:一个可扩展的放射转移和治疗框架

IF 2.7 1区 数学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Jonas Kusch, Steffen Schotthöfer, Pia Stammer, Jannick Wolters, Tianbai Xiao
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引用次数: 0

摘要

在本文中,我们提出了KiT-RT(放射治疗动力学传输求解器),这是一个基于c++的开源框架,用于求解治疗应用中的动力学方程,可在https://github.com/CSMMLab/KiT-RT上获得。这个软件框架旨在为非结构化网格提供一组经典的确定性求解器,使其易于扩展。因此,KiT-RT是一个方便的基础,可以在各种应用中测试新的数值方法,并将它们与传统求解器进行比较。实现包括球面谐波、最小熵、神经最小熵和离散坐标方法。通过从辐射输运到电子放射治疗的几个测试案例,介绍了溶液的特性和效率。由于所包含的各种数值方法和易于扩展,所提供的开源代码对开发人员和用户或应用程序工程师都很有吸引力,他们想要一个基础来构建他们的数值求解器,而用户或应用程序工程师想要在不直接干扰代码库的情况下获得实验见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
KiT-RT: An extendable framework for radiative transfer and therapy
In this paper, we present KiT-RT (Kinetic Transport Solver for Radiation Therapy), an open-source C++ based framework for solving kinetic equations in therapy applications available at https://github.com/CSMMLab/KiT-RT. This software framework aims to provide a collection of classical deterministic solvers for unstructured meshes that allow for easy extendability. Therefore, KiT-RT is a convenient base to test new numerical methods in various applications and compare them against conventional solvers. The implementation includes spherical harmonics, minimal entropy, neural minimal entropy, and discrete ordinates methods. Solution characteristics and efficiency are presented through several test cases ranging from radiation transport to electron radiation therapy. Due to the variety of included numerical methods and easy extendability, the presented open-source code is attractive for both developers, who want a basis to build their numerical solvers, and users or application engineers, who want to gain experimental insights without directly interfering with the codebase.
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来源期刊
ACM Transactions on Mathematical Software
ACM Transactions on Mathematical Software 工程技术-计算机:软件工程
CiteScore
5.00
自引率
3.70%
发文量
50
审稿时长
>12 weeks
期刊介绍: As a scientific journal, ACM Transactions on Mathematical Software (TOMS) documents the theoretical underpinnings of numeric, symbolic, algebraic, and geometric computing applications. It focuses on analysis and construction of algorithms and programs, and the interaction of programs and architecture. Algorithms documented in TOMS are available as the Collected Algorithms of the ACM at calgo.acm.org.
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