Daily online adaptive plan quality in magnetic resonance imaging guided radiation therapy (MRgRT) is difficult to assess in relation to the fully optimized, high quality plans traditionally established offline. Machine learning prediction models developed in this work are capable of predicting 3D dose distributions, enabling the evaluation of online adaptive plan quality to better inform adaptive decision‐making in MRgRT.

中文翻译：

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在线自适应磁共振引导放射治疗中体素剂量预测的机器学习模型的开发和评估。


与传统上离线建立的完全优化的高质量计划相比，磁共振成像引导放射治疗 (MRgRT) 中的每日在线自适应计划质量很难评估。这项工作中开发的机器学习预测模型能够预测 3D 剂量分布，从而能够评估在线自适应计划质量，以便更好地为 MRgRT 中的自适应决策提供信息。