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Prediction methods for synchronization of scanned ion beam tracking
N Saito1, N Chaudhri, A Gemmel
1GSI Helmholtz Centre for Heavy Ion Research GmbH, Planckstraße 1, 64291 Darmstadt, Germany.
Summary
Predictive modeling for scanned carbon beam tracking enables real-time adaptation during radiation therapy for moving organs. This method ensures precise delivery by anticipating organ motion and beam progress, improving treatment accuracy.
Area of Science:
- Medical Physics
- Radiation Oncology
- Image-Guided Therapy
Background:
- Intra-fractional organ motion poses challenges for precise radiation delivery.
- Beam tracking requires rapid adaptation to mitigate motion-related uncertainties.
- Existing methods face latency issues in adapting to real-time organ movement.
Purpose of the Study:
- To implement and validate a predictive method for scanned carbon beam tracking.
- To overcome latency in adaptive radiation therapy for moving targets.
- To enhance the performance of carbon beam tracking systems.
Main Methods:
- Developed and experimentally tested a prediction algorithm for scanned carbon beam tracking.
- Incorporated 4D treatment planning to determine beam tracking parameters.
- Applied prediction of organ motion trajectory and scanning progress during treatment delivery.
Main Results:
- Achieved prediction times of 25 ms for target spot prediction.
- Demonstrated feasibility of predicting longitudinal beam shifts of approximately 6 mm water-equivalent.
- Experimental validation confirmed the effectiveness of the implemented prediction algorithm.
Conclusions:
- Predictive modeling is feasible and effective for scanned carbon beam tracking.
- This approach can significantly improve the accuracy of radiation therapy for moving organs.
- The developed method addresses critical latency issues in adaptive radiotherapy.
