A deep learning-based dose calculation method for volumetric modulated arc therapy

The dose distribution derived by the network showed good agreement with the TPS calculated dose distribution. The computational time was reduced to approximate one-sixth of its original duration. Therefore the presented deep learning-based dose calculation method has the potential to be used for planning optimization.

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Publication Details

Journal
Radiation Oncology
Published
2024-10-10
DOI
https://doi.org/10.1186/s13014-024-02534-2
Citations
1
Primary Topic
Advanced Radiotherapy Techniques
Type
article
Field-Weighted Citation Impact
0.61

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article

A deep learning-based dose calculation method for volumetric modulated arc therapy

Yuan Xu, Jianrong Dai, Zhiqiang Liu, Ran Wei et al.
1 citations
Radiation Oncology
Advanced Radiotherapy Techniques
0.61
article

A deep learning-based dose calculation method for volumetric modulated arc therapy

Yuan Xu, Jianrong Dai, Zhiqiang Liu, Ran Wei, Wenlong Xia, Bin Liang
article en
1 citations

Abstract

The dose distribution derived by the network showed good agreement with the TPS calculated dose distribution. The computational time was reduced to approximate one-sixth of its original duration. Therefore the presented deep learning-based dose calculation method has the potential to be used for planning optimization.

Radiation OncologyVol. 19(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), National Cancer Center (US)
National Natural Science Foundation of China, Cancer Foundation of China
Openalex Percentile: Top 30%
Advanced Radiotherapy Techniques
0.61
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A deep learning-based dose calculation method for volumetric modulated arc therapy — Yuan Xu, Jianrong Dai, et al. · Radiation Oncology (2024) | TGRS Research Map | TGRS