"Accurate and Fast Deep Learning Dose Prediction for a Preclinical Micr" by Florian Mentzel, Jason Paino et al.
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 and Medical Beamline, Australian Synchrotron to calculate the dose in MRT preclinical studies. The steep dose gradients associated with the 50 (Formula presented.) m-wide coplanar beamlets present a significant challenge for precise MC simulation of the dose deposition of an MRT irradiation treatme...