Deep Monte Carlo Dose Denoising

Monte Carlo simulation is necessary for dose calculation in modern MRI-guided radiation therapy. While MC is accurate, it is slow, since large sample counts are needed to obtain non-noisy results. This work investigates a novel application of Deep Learning with fully convolutional UNETs to predict noise-free dose from short MC simulations that otherwise produce unusable and very noisy dose.