A method of surface marker location optimization for tumor motion estimation in lung stereotactic body radiation therapy

Abstract

The PCA model is an accurate, efficient, robust, and practical model for solving the multimarker position optimization problem to predict lung tumor motion during SBRT treatments. Due to its generality, PCA model can also be applied to other imaging guidance system whichever using surface motion as the surrogates.