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Related Experiment Video

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X-ray Dose Reduction through Adaptive Exposure in Fluoroscopic Imaging

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Pulse parameter optimizer: an efficient tool for achieving prescribed dose and dose rate with electron FLASH

S Jain¹, A Cetnar¹, J Woollard¹

¹The Department of Radiation Oncology, The Ohio State University Wexner Medical Center, United States of America.

Physics in Medicine and Biology

|September 22, 2023

Summary

A new software application optimizes electron FLASH therapy parameters, improving precision and efficiency in dose and dose rate delivery. This tool automates calculations, reducing manual errors and enhancing patient safety during ultra-high dose rate treatments.

Keywords:

FLASH electron UHDR mobetron optimization

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Area of Science:

Medical Physics
Radiation Oncology
Radiotherapy Technology

Background:

Commercial electron FLASH platforms offer ultra-high dose rates but require precise pulse parameter combinations (pulse width, pulse repetition frequency, number of pulses) for specific dose and dose rate delivery.
Manual determination of these parameters using spreadsheets is inefficient and prone to errors, especially for varied treatment configurations.

Purpose of the Study:

To develop and validate a software application for optimizing electron FLASH therapy pulse parameters.
To enable precise and efficient matching of intended dose and dose rate for clinical applications.

Main Methods:

A dose and dose rate calculation model was developed for a commercial electron FLASH platform.
A constrained optimization problem was formulated as a mixed-integer problem in MATLAB, incorporating parameters like dose per pulse, pulse width, pulse repetition frequency, and airgap factors.
Beam and machine data were acquired using Gafchromic film and alternating current current transformers (ACCTs).

Main Results:

A software application was successfully created to optimize dose and dose rate by adjusting pulse width, pulse repetition frequency, number of pulses, and airgap factors.
The optimization process converged within 20 seconds, achieving the closest possible match to desired dose and dose rates.
The software demonstrated accuracy in dose calculation and precision in matching prescribed dose and dose rate.

Conclusions:

An automated pulse parameter optimization application for electron FLASH therapy has been developed.
This tool significantly enhances the efficiency of the dose, dose rate, and pulse parameter prescription process.
Automation reduces safety concerns associated with manual calculations, crucial for managing multiple patients with varying treatment parameters.