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Updated: Feb 25, 2026

Automated Delivery of Microfabricated Targets for Intense Laser Irradiation Experiments
Published on: January 28, 2021
Technical Note: Using experimentally determined proton spot scanning timing parameters to accurately model beam
Jiajian Shen1, Erik Tryggestad2, James E Younkin1
1Department of Radiation Oncology, Mayo Clinic Arizona, Phoenix, AZ, 85054, USA.
This study developed an accurate model for predicting proton beam delivery time (BDT) in spot scanning systems. Using experimentally determined parameters significantly improved BDT prediction accuracy compared to vendor-supplied values.
Area of Science:
- Medical Physics
- Radiation Oncology
Background:
- Proton therapy utilizes spot scanning for precise dose delivery.
- Accurate modeling of beam delivery time (BDT) is crucial for optimizing treatment efficiency and managing interplay effects.
Purpose of the Study:
- To develop and validate a model for predicting BDT in synchrotron-based proton spot scanning systems.
- To utilize experimentally determined beam parameters for enhanced BDT prediction accuracy.
Main Methods:
- A simulation model was constructed to calculate BDT by summing layer switch, spot switch, and spot delivery times.
- Key beam parameters (layer switch time, magnet preparation/verification time, scanning speeds, spill rate, charge/extraction time) were experimentally quantified.
- The model was validated by comparing predicted BDTs with recorded BDTs from 602 clinical proton beam deliveries.
Main Results:
- Experimentally determined parameters included an average layer switch time of 1.91 s, magnet preparation/verification time of 1.93 ms, scanning speeds of 5.9 m/s (x) and 19.3 m/s (y), and a proton spill rate of 8.7 MU/s.
- Calculated BDTs using experimental parameters showed high accuracy (∆t = -0.49 ± 1.44 s) compared to recorded times.
- Predictions using nominal vendor parameters were significantly less accurate (∆t = -7.48 ± 6.97 s).
Conclusions:
- An accurate BDT prediction model was achieved using experimentally determined proton beam therapy delivery parameters.
- This model can aid in simulating interplay effects, optimizing patient throughput, and identifying machine performance degradation.
- The validated model offers a tool for improving efficiency and quality assurance in proton therapy delivery.
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