A deep learning-based algorithm for three-dimensional dose prediction

Mengjia Xue; Tianrui Liu; Yizhen Xie; Meiya Dong; Xiuping Liu

doi:10.1117/12.2685094

18 July 2023 A deep learning-based algorithm for three-dimensional dose prediction

Mengjia Xue, Tianrui Liu, Yizhen Xie, Meiya Dong, Xiuping Liu

Proceedings Volume 12745, Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023); 127450W (2023) https://doi.org/10.1117/12.2685094
Event: Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023), 2023, Haikou, China

Abstract

Three-dimensional dose prediction is an important step in automatic radiotherapy planning. Using deep learning combined with Knowledge-Based Planning methods (KBP) can achieve dose distribution prediction on CT images. Convolutional Neural Networks (CNN) are an important branch of deep learning algorithms. This article will briefly introduce the application of convolutional neural networks and other advanced algorithm structures in dose prediction. And there are different studies that evaluate the model output results by studying different transformation models, different patient data and data of different treatment methods, and find the optimal dose prediction model. However, the research on dose prediction models is not the most complete. There is still room for further research in terms of input tumor types, treatment methods, etc. Moreover, automatic radiotherapy plan generation is the ultimate goal, and further research is needed.

Citation Download Citation

Mengjia Xue, Tianrui Liu, Yizhen Xie, Meiya Dong, and Xiuping Liu "A deep learning-based algorithm for three-dimensional dose prediction", Proc. SPIE 12745, Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023), 127450W (18 July 2023); https://doi.org/10.1117/12.2685094

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