This review introduces a novel deformable image registration paradigm that exploits Markov
random field formulation and powerful discrete optimization algorithms. We express …

This paper reviews recent advances in 4D medical imaging (4DMI) and 4D radiation therapy
(4DRT), which study, characterize, and minimize patient motion during the processes of …

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 …

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

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

A four-dimensional deformable image registration (4D DIR) algorithm, referred to as 4D local
trajectory modeling (4DLTM), is presented and applied to thoracic 4D computed tomography …

The authors propose a nonrigid image registration approach to align two computed‐
tomography (CT)‐derived lung datasets acquired during breath‐holds at two inspiratory …

Modeling of respiratory motion has become increasingly important in various applications of
medical imaging (eg, radiation therapy of lung cancer). Current modeling approaches are …

In this article, our goal is twofold. First, we propose and compare two methods which process
deformable registration to estimate patient specific lung and tumor displacements and …

Purpose: Current respiratory motion monitoring devices used for motion synchronization in
medical imaging and radiotherapy provide either 1D respiratory signal over a specific region …