Accurate and Fast Deep Learning Dose Prediction for a Preclinical Microbeam Radiation Therapy Study Using Low-Statistics Monte Carlo Simulations

Accurate and Fast Deep Learning Dose Prediction for a Preclinical Microbeam Radiation Therapy Study Using Low-Statistics Monte Carlo Simulations

Microbeam radiation therapy (MRT) utilizes coplanar synchrotron radiation beamlets and is a proposed treatment approach for several tumor diagnoses that currently have poor clinical treatment outcomes, such as gliosarcomas. Monte Carlo (MC) simulations are one of the most used methods at the Imaging...

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Bibliographic Details
Main Authors: Florian Mentzel, Jason Paino, Micah Barnes, Matthew Cameron, Stéphanie Corde, Elette Engels, Kevin Kröninger, Michael Lerch, Olaf Nackenhorst, Anatoly Rosenfeld, Moeava Tehei, Ah Chung Tsoi, Sarah Vogel, Jens Weingarten, Markus Hagenbuchner, Susanna Guatelli
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Cancers
Subjects:
microbeam radiation therapy
deep learning
dose prediction
Geant4
Monte Carlo simulation
preclinical study
Online Access:https://www.mdpi.com/2072-6694/15/7/2137

Internet

https://www.mdpi.com/2072-6694/15/7/2137

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