Background: Deformable image registration (DIR) is increasingly used in the field of
radiation therapy (RT) to account for anatomical deformations. The aims of this paper are to …

Introduction Adequate head and neck (HN) organ-at-risk (OAR) delineation is crucial for HN
radiotherapy and for investigating the relationships between radiation dose to OARs and …

Within artificial intelligence, machine learning (ML) efforts in radiation oncology have
augmented the transition from generalized to personalized treatment delivery. Although their …

Background and purpose Delineation of organs at risk (OARs), such as the bladder, rectum
and sigmoid, plays an important role in the delivery of optimal absorbed dose to the target …

Purpose: The aims of this work were to evaluate the performance of several deformable
image registration (DIR) algorithms implemented in our in‐house software (NiftyReg) and …

Deformable image registration (DIR) is a critical technic in adaptive radiotherapy (ART) for
propagating contours between planning computerized tomography (CT) images and …

In the last few years, the use of ions in radiation therapy is gaining interest and it is being
considered medically necessary for a growing subset of tumours. Concurrently, the …

Purpose Isotropic smoothing has been conventionally used to regularize deformation vector
fields (DVF s) in deformable image registration (DIR). However, the isotropic smoothing …

Abstract The AAPM TG 132 Report enumerates important steps for validation of the medical
image registration process. While the Report outlines the general goals and criteria for the …

Purpose: To evaluate the accuracy of deep-learning-based auto-segmentation of the
superior constrictor, middle constrictor, inferior constrictor, and larynx in comparison with a …