SU-E-J-211: Development of Respiratory Training System Using Individual Characteristic Guiding Waveform.

Abstract

The purpose of this study is to develop the respiratory training system using individual characteristic guiding waveform to reduce the impact of respiratory motion that causes artifact in radiation therapy. Respiratory training system was developed by LabView (National Instruments, version 8.6). The real-time respiratory signals were acquired using in-house developed belt type sensor and more user-comfortable HMD was used for visual guiding (Vuzix, Wrap 920). The respiratory training program consists of three main components. It is (1) respiratory signal reading and peak detection program (2) individual characteristic guiding waveform generation program (3) respiratory signals acquisition and visual guiding program. In order to evaluate the feasibility of in-house developed respiratory training system, 5 volunteers were included and their respiratory signals were acquired using the in-house developed belt-type sensor. Respiratory training system needs 10 free breathing cycles of each volunteer to make individual characteristic guiding waveform based on Fourier series and it guides patient's next breathing. For each volunteer, free breathing and guided breathing which uses individual characteristic guiding waveform were performed to acquire the respiratory cycles for 3 min. The root mean square error (RMSE) was computed to analyze improvement of respiratory regularity in period and displacement. It was found that respiratory regularity was improved by using respiratory training system. RMSE of guided breathing decreased up to 40% in displacement and 76% in period compared with free breathing. The average of RMSE was decreases from 0.012V to 0.008V in displacement and from 0.432 sec to 0.192 sec in period. In conclusion, since the guiding waveform was easy to follow for the volunteers, The respiratory regularity was significantly improved by using in-house developed respiratory training system. So it would be helpful to improve accuracy and efficiency during 4D-RT, 4D-CT.