Correlation between Thoracic-abdominal Surface and Tumor Motion based on 3D Point Cloud: A Preliminary Study

摘要

The stereoscopic radiotherapy robot has more and more advantages in the field of radiotherapy because of its high precision and stability. And the respiration tracking technology of tumor motion plays a key role in the precision radiotherapy of stereoscopic radiotherapy robot. Due to the high complexity and individual differences in modeling for tumor motion during respiration, in order to achieve better accuracy and robustness, this paper proposes a method for establishing a correlation model between tumor and thoracic-abdominal surface model based on 3D point cloud, which more fully reflects three-dimensional surface information and tumor motion correlation. For the proposed method, we present a preliminary study in this paper, including a) body surface modeling scheme; b) the method of establishing a correlation model between tumor and thoracic-abdominal surface model; c) experiments to compare the effect of the two modeling methods, namely the point cloud data modeling and external marker modeling to verify the feasibility of using point cloud data modeling to replace the method of external marker modeling. As a preliminary study, the result of experimental verification lays the foundation for the further correlation model building.