Directly extracting the respiratory phase pattern of the tumor using cone‐beam computed tomography (CBCT) projections is challenging due to the poor tumor visibility caused by the obstruction of multiple anatomic structures on the beam's eye view. Predicting tumor phase information using external surrogate also has intrinsic difficulties as the phase patterns between surrogates and tumors are not necessary to be congruent. In this work, we developed an algorithm to accurately recover the primary oscillation components of tumor motion using the combined information from both CBCT projections and external surrogates.

中文翻译：

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使用锥束计算机断层扫描投影和外部替代信息进行肿瘤相位识别。

使用锥形束计算机断层扫描（CBCT）投影直接提取肿瘤的呼吸相位图非常具有挑战性，这是由于光束的视线中的多个解剖结构受阻而导致的肿瘤可见度差。使用外部替代物预测肿瘤相位信息也存在固有的困难，因为替代物和肿瘤之间的相位模式不必完全一致。在这项工作中，我们开发了一种算法，该算法使用CBCT投影和外部替代物的组合信息来准确恢复肿瘤运动的主要振荡成分。