A GPU‐accelerated Monte Carlo dose engine for external beam radiotherapy
The accuracy and efficiency of GARDEN has been benchmarked against GEANT4 and validated in both phantoms and clinical treatment plans. With its capability for fast and accurate dose computation, GARDEN shows strong potential for applications in treatment planning and quality assurance.
Authors
- Bing Yan (ORCID: https://orcid.org/0000-0002-7970-6764)
- Zi-Hao Liu (ORCID: https://orcid.org/0000-0002-8809-1503)
- Chenghang Zheng (ORCID: https://orcid.org/0000-0003-0410-2007)
- Yuxiang Wang (ORCID: https://orcid.org/0000-0001-9608-5392)
- Panpan Hu (ORCID: https://orcid.org/0000-0002-1683-2739)
- Yiqun Han (ORCID: https://orcid.org/0000-0001-5338-3058)
- Yidong Yang
Institutions
- University of Science and Technology of China (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1002/mp.17899
- Citations
- 1
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 1.88
Funders
- Fundamental Research Funds for the Central Universities