TY - GEN
T1 - Correlation between thoracic-abdominal surface and tumor motion based on 3D Point Cloud
T2 - 2018 IEEE International Conference on Information and Automation, ICIA 2018
AU - Hou, Pengcheng
AU - Sun, Rongchuan
AU - Yu, Shumei
AU - Kuang, Shaolong
AU - Sun, Lining
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8
Y1 - 2018/8
N2 - 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.
AB - 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.
KW - 3D point cloud
KW - Correlation model
KW - Respiration tracking
KW - Thoracic-abdominal Surface model
UR - https://www.scopus.com/pages/publications/85072323893
U2 - 10.1109/ICInfA.2018.8812398
DO - 10.1109/ICInfA.2018.8812398
M3 - 会议稿件
AN - SCOPUS:85072323893
T3 - 2018 IEEE International Conference on Information and Automation, ICIA 2018
SP - 796
EP - 801
BT - 2018 IEEE International Conference on Information and Automation, ICIA 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 11 August 2018 through 13 August 2018
ER -