Physics-based energy spectrum optimization (PESO): a new method to model the energy spectrum of a compact ultra-high dose rate electron linac for Monte Carlo dose calculation.

Abstract

Objective.FLASH radiotherapy (FLASH-RT) is an emerging treatment modality that delivers ultra-high dose rates (UHDR) to achieve effective tumor control while minimizing damage to healthy tissues-a phenomenon known as the FLASH effect. Accurate modeling of the electron energy spectrum is essential for UHDR linacs used in FLASH-RT to ensure reliable dose calculations and effective treatment planning. This study introduces a novel, physics-based method to reconstruct electron energy spectra specifically tailored for compact UHDR linacs lacking bending magnets, which present unique challenges for beam modeling.Approach.A physics-based energy spectrum optimization (PESO) algorithm was developed to model electron beam dynamics within a compact linac with minimal free parameters. The PESO approach was evaluated against two conventional methods-simulated annealing (SA) and Gaussian regression (GR)-using radiochromic film measurements in solid water phantoms for three applicator sizes (25 mm, 40 mm, and 60 mm) in both conventional and FLASH modes. Accuracy of the reconstructed isodoses and robustness against measurement errors was evaluated for each method.Main results.We successfully implemented the PESO algorithm to resolve the electron beam dynamics as a function of the electric field within the waveguide. The method constrained the solution to physically plausible spectra and achieved superior dosimetric accuracy compared to both GR and SA for the 6 MeV UHDR beam, while producing results comparable to SA (and better than GR) for the 9 MeV UHDR beam. PESO also demonstrated reduced sensitivity to measurement errors and maintained consistency, even for the low-energy tail components of UHDR electron beams.Significance.By incorporating physically based constraints into the beam modeling process, PESO offers improvements in the reliability and precision of electron energy spectrum reconstruction for UHDR linacs. This development addresses challenges in electron FLASH-RT dose calculation and may aid in the clinical implementation of FLASH radiotherapy.