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KiT-RT: An extendable framework for radiative transfer and therapy

Kusch, Jonas; Schotthöfer, Steffen ORCID iD icon 1,2; Stammer, Pia ORCID iD icon 2,3,4; Wolters, Jannick 5; Xiao, Tianbai
1 Institut für Angewandte und Numerische Mathematik (IANM), Karlsruher Institut für Technologie (KIT)
2 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)
3 Helmholtz Information& Data Science School for Health (HIDSS4Health), Karlsruher Institut für Technologie (KIT)
4 Helmholtz-Gemeinschaft Deutscher Forschungszentren (DKFZ)
5 Karlsruher Institut für Technologie (KIT)

Abstract (englisch):

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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Originalveröffentlichung
DOI: 10.1145/3630001
Dimensions
Zitationen: 1
Zugehörige Institution(en) am KIT Helmholtz-Gemeinschaft Deutscher Forschungszentren (DKFZ)
Helmholtz Information& Data Science School for Health (HIDSS4Health)
Institut für Angewandte und Numerische Mathematik (IANM)
Scientific Computing Center (SCC)
Publikationstyp Zeitschriftenaufsatz
Publikationsdatum 27.10.2023
Sprache Englisch
Identifikator ISSN: 0098-3500, 1557-7295
KITopen-ID: 1000165364
HGF-Programm 46.21.02 (POF IV, LK 01) Cross-Domain ATMLs and Research Groups
Erschienen in ACM Transactions on Mathematical Software
Verlag Association for Computing Machinery (ACM)
Band 49
Heft 4
Seiten Art.-Nr.: 38
Schlagwörter radiation transport, radiation therapy, finite volume methods, machine learning, kinetic theory
Nachgewiesen in Dimensions
Scopus
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