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 …

This paper presents a review of automated image registration methodologies that have been
used in the medical field. The aim of this paper is to be an introduction to the field, provide …

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 …

Radiotherapy is a highly effective, targeted therapy for the management of cancer.
Technological innovations have enabled the direct integration of imaging technology into …

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 …

The number of imaging data sets has significantly increased during radiation treatment after
introducing a diverse range of advanced techniques into the field of radiation oncology. As a …

Expert landmark correspondences are widely reported for evaluating deformable image
registration (DIR) spatial accuracy. In this report, we present a framework for objective …

Background Confirming ablation completeness with sufficient ablative margin is critical for
local tumor control following colorectal liver metastasis (CLM) ablation. An image-based …

Better understanding of the dose-toxicity relationship is critical for safe dose escalation to
improve local control in late-stage cervical cancer radiotherapy. In this study, we introduced …

PURPOSE: To assess the accuracy, reproducibility, and computational performance of
deformable image registration algorithms under development at multiple institutions on …