Modeling a 6 MV FFF Beam from the CyberKnife M6 to Produce Data for Training Artificial Neural Networks

A Monte Carlo-based model of the CyberKnife M6 6 MV Flattening Filter-Free (FFF) beam was developed to produce the data that can be used to train artificial neural networks. The data include the energy spectra of the beam, its average energy, the spatial distributions of the beam, and the distributions of the photon propagation directions for two selected radiation fields—a large one with a diameter of 60 mm, and a small one with a diameter of 15 mm. The GEANT4 code was used to develop the beam model. The developed model was verified by comparing the depth-dose distributions along the beam axis and the profiles obtained in both simulations and measurements. The data included in this paper, intended for training neural networks, will be made available via Google Drive.

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Journal
Applied Sciences
Published
2025-12-18
DOI
https://doi.org/10.3390/app152413262
Primary Topic
Advanced Radiotherapy Techniques
Type
article
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article

Modeling a 6 MV FFF Beam from the CyberKnife M6 to Produce Data for Training Artificial Neural Networks

Adam Konefał, A. Orlef, Joanna Prażmowska, Maria Sokół et al.
Applied Sciences
Advanced Radiotherapy Techniques
article

Modeling a 6 MV FFF Beam from the CyberKnife M6 to Produce Data for Training Artificial Neural Networks

Adam Konefał, A. Orlef, Joanna Prażmowska, Maria Sokół, Justyna Rostocka, Agnieszka Kapłon
article en

Abstract

A Monte Carlo-based model of the CyberKnife M6 6 MV Flattening Filter-Free (FFF) beam was developed to produce the data that can be used to train artificial neural networks. The data include the energy spectra of the beam, its average energy, the spatial distributions of the beam, and the distributions of the photon propagation directions for two selected radiation fields—a large one with a diameter of 60 mm, and a small one with a diameter of 15 mm. The GEANT4 code was used to develop the beam model. The developed model was verified by comparing the depth-dose distributions along the beam axis and the profiles obtained in both simulations and measurements. The data included in this paper, intended for training neural networks, will be made available via Google Drive.

Applied SciencesVol. 15(24)
Institute of Physics (PL), The Maria Sklodowska-Curie National Research Institute of Oncology (PL), University of Silesia in Katowice (PL)
Openalex Percentile: Top 51%
Advanced Radiotherapy Techniques
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