Artificial Intelligence (AI) is currently being introduced into different domains, including
medicine. Specifically in radiation oncology, machine learning models allow automation and …

Abstract Recently, deep learning (DL)‐based methods for the generation of synthetic
computed tomography (sCT) have received significant research attention as an alternative to …

Abstract Background and Purpose To enable accurate magnetic resonance imaging (MRI)-
based dose calculations, synthetic computed tomography (sCT) images need to be …

Background Structure delineation is a necessary, yet time-consuming manual procedure in
radiotherapy. Recently, convolutional neural networks have been proposed to speed-up and …

Highlights•MR-only treatment planning could improve the spatial accuracy of
radiotherapy.•The benefit compared to a mixed MR-CT workflow will vary between patient …

Background and purpose Comprehensive dosimetric analysis is required prior to the clinical
implementation of pelvic MR-only sites, other than prostate, due to the limited number of site …

MR-only radiation treatment planning is attractive due to the superior soft tissue definition of
MRI as compared to CT, and the elimination of the uncertainty introduced by CT-MRI …

Purpose There are several means of synthetic computed tomography (sCT) generation for
magnetic resonance imaging (MRI)-only planning; however, much of the research omits …

Abstract Purpose Previous work on Magnetic Resonance Imaging (MRI) only planning has
been applied to limited treatment regions with a focus on male anatomy. This research …

Background and purpose The clinical feasibility of synthetic computed tomography (sCT)
images derived from magnetic resonance imaging (MRI) images for external beam radiation …