Investigating motion data selections based on patient-specific respiration pattern at external surrogates radiotherapy using Cyberknife Synchrony respiratory tracking system

Document Type : Original Paper


1 Faculty of Sciences and Modern Technologies, Graduate University of Advanced Technology, Haftbagh Highway, 7631885356 Kerman, Iran

2 Faculty of Sciences and Modern Technologies, Graduate University of Advanced Technology, Kerman, Iran



Introduction: In this study, in order to personalize motion compensated radiotherapy with external surrogates, an intelligent method is proposed for selecting external surrogates’ motion data on the basis of patient-specific respiration pattern. This strategy enhances targeting accuracy and can potentially feed the stereoscopic X-ray imaging system and lead to fewer imaging dose, intelligently.

Materials and Methods: In this work, we investigate the effects of training data points firstly on correlation model construction at pre-treatment step for its training. Then, the same assessment will be done by means of updating data points on the model re-construction during the treatment for its updating. Moreover, a recognition algorithm has been developed in order to detect high variability of breathing motion using pre-defined discriminator levels based on external surrogate’s motion amplitude.

Results: Based on our findings, the number of training and updating data points can be intelligently optimized depending on the breathing pattern of each patient on a case-by-case basis, during the course of external surrogates’ radiotherapy. In addition, by developing recognition algorithm, the shooting time for motion data selection is converted from conventional strategy that is implementing clinically to intelligent approach, accordingly. As example for a patient with high motion variability while the number of critical data points recognized by our algorithm is significant, the targeting error with and without utilizing these data points are 4.4 mm and 6.6 mm, respectively.

Conclusion: the current effort promises to be aid a more personalized delivery of motion compensated radiotherapy using external surrogates by considering to motion data gathering, according to patient-specific respiration pattern before and during treatment. By implementing our strategy, we expect to make a compromise between the performance accuracy of correlation model and additional imaging dose delivered by stereoscopic X-ray system.


Main Subjects

Articles in Press, Accepted Manuscript
Available Online from 12 February 2024
  • Receive Date: 09 May 2023
  • Revise Date: 13 November 2023
  • Accept Date: 12 February 2024