This paper presents a review of deep learning (DL)-based medical image registration
methods. We summarized the latest developments and applications of DL-based registration …

Dose map**/accumulation (DMA) is a topic in radiotherapy (RT) for years, but has not yet
found its widespread way into clinical RT routine. During the ESTRO Physics workshop …

Image registration and fusion algorithms exist in almost every software system that creates
or uses images in radiotherapy. Most treatment planning systems support some form of …

Deformable image registration can be time consuming and often needs extensive
parameterization to perform well on a specific application. We present a deformable …

Spatial regularization is essential in image registration, which is an ill-posed problem.
Regularization can help to avoid both physically implausible displacement fields and local …

Purpose: The purpose of this work was to describe a versatile algorithm for deformable
image registration with applications in radiotherapy and to validate it on thoracic 4DCT data …

Purpose To develop an accurate and fast deformable image registration (DIR) method for
four‐dimensional computed tomography (4D‐CT) lung images. Deep learning‐based …

Quantitative magnetic resonance imaging (qMRI) is a technique for estimating quantitative
tissue properties, such as the T 1 and T 2 relaxation times, apparent diffusion coefficient …

Deformable image registration can be time-consuming and often needs extensive
parameterization to perform well on a specific application. We present a step towards a …

Deep learning-based methods for deformable image registration are attractive alternatives
to conventional registration methods because of their short registration times. However …