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Exploring the impact of field shape on predicted dose distribution in breast cancer patients using deep learning in radiation therapy
Radiation Physics and Chemistry ( IF 2.8 ) Pub Date : 2024-09-10 , DOI: 10.1016/j.radphyschem.2024.112197
Mohammad Ehsan Ravari , Marziyeh Behmadi , Shahrokh Nasseri , Mehdi Momennezhad

Geometrical information such as field shape is essential for dose calculation in radiation therapy. However, new methods of dose prediction based on deep learning only use CT images and contouring of patients. The aim of this study is to develop a deep learning method for three-dimensional dose prediction for breast cancer radiotherapy using field shape as well as CT and contouring images of patients.

中文翻译:


在放射治疗中使用深度学习探索场形状对乳腺癌患者预测剂量分布的影响



磁场形状等几何信息对于放射治疗中的剂量计算至关重要。然而,基于深度学习的新剂量预测方法仅使用 CT 图像和患者轮廓。本研究的目的是开发一种深度学习方法,用于使用视野形状以及 CT 和患者轮廓图像对乳腺癌放疗进行三维剂量预测。
更新日期:2024-09-10
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