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Abstract: Organ motion induced by respiration may cause clinically significanttargeting errors and greatly degrade the effectiveness of conformalradiotherapy. It is therefore crucial to be able to model respiratory motionaccurately. A recently proposed lung motion model based on principal componentanalysis PCA has been shown to be promising on a few patients. However, thereis still a need to understand the underlying reason why it works. In thispaper, we present a much deeper and detailed analysis of the PCA-based lungmotion model. We provide the theoretical justification of the effectiveness ofPCA in modeling lung motion. We also prove that under certain conditions, thePCA motion model is equivalent to 5D motion model, which is based on physiologyand anatomy of the lung. The modeling power of PCA model was tested on clinicaldata and the average 3D error was found to be below 1 mm.



Author: Ruijiang Li, John Lewis, Xun Jia, Tianyu Zhao, James Lamb, Deshan Yang, Daniel A. Low, Steve B. Jiang

Source: https://arxiv.org/



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