The Proceedings of Mechanical Engineering Congress, Japan
Online ISSN : 2424-2667
ISSN-L : 2424-2667
2019
Session ID : J24110P
Conference information

Prediction of respiratory tumor motion based on FIR repetitive control
*Shouta OKUSAKOFumitake FUJIITakehiro SHIINOKI
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CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

It is known that position of lung tumor motion changes because of the respiration and the heartbeat of a patient being treated. Treatment accuracy will be severely deteriorated unless negative influences caused by the positional variation of the tumor are not properly compensated. The dynamic tumor tracking radiotherapy (DTT-RT) is a next-generation treatment technology which tracks the position of the tumor and deliver dose continuously. However, as there exists 50-500ms positioning lag in the commercial medical linear accelerators, dose delivery command position should be generated by prediction so as to compensate the mechanical positioning lag of linear accelerators. This study proposes an FIR type repetitive lung-tumor position predictor which is designed to be robust to the changes of tumor motion period of a patient. Performance of the proposed predictor was evaluated using the measured tumor position trajectories of five patients who were enrolled in gated radiotherapy in Yamaguchi University Hospital.

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© 2019 The Japan Society of Mechanical Engineers
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