A novel evaluation model of image registration for cone-beam computed tomography guided lung cancer radiotherapy.

Yimei LiuMeining ChenJianlan FangLiangjie XiaoSongran LiuQiwen LiBo QiuRunda HuangJun ZhangYinglin Peng

Published in: Thoracic cancer (2024)

This study successfully developed a clinically relevant weighted evaluation model for CBCT-guided lung cancer radiotherapy. Validation confirmed the grayscale method's optimal performance in ipsilateral structure registration.

Keyphrases

cone beam computed tomography
early stage
locally advanced
radiation therapy
radiation induced
magnetic resonance
deep learning
magnetic resonance imaging
squamous cell carcinoma
machine learning