Single energy CT-based mass density and relative stopping power estimation for proton therapy using deep learning method

CONCLUSION: The results show that deep learning neural networks have the potential to generate accurate voxel-specific material property information, which can be used to improve the accuracy of proton dose calculation.ADVANCES IN KNOWLEDGE: Deep learning-based frameworks are proposed to estimate material mass density and RSP from SECT with improved accuracy compared with conventional methods.PMID:38074686 | PMC:PMC10702508 | DOI:10.3389/fonc.2023.1278180

Source: Ann Oncol - December 11, 2023 Category: Cancer & Oncology Authors: Yuan Gao Chih-Wei Chang Justin Roper Marian Axente Yang Lei Shaoyan Pan Jeffrey D Bradley Jun Zhou Tian Liu Xiaofeng Yang Source Type: research