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 …

Several biomedical applications require accurate image registration that can cope effectively
with complex organ deformations. This paper addresses this problem by introducing a …

Discrete optimisation strategies have a number of advantages over their continuous
counterparts for deformable registration of medical images. For example: it is not necessary …

Understanding regional deformation in the lung has long attracted the medical community,
as parenchymal deformation plays a key role in respiratory physiology. Recent advances in …

This paper presents a new hybrid biomechanical model-based non-rigid image registration
method for lung motion estimation. In the proposed method, a patient-specific biomechanical …

Tissue deformation plays an important role in lung physiology, as lung parenchyma largely
deforms during spontaneous ventilation. However, excessive regional deformation may lead …

In this article, we develop a lung ventilation model. The parenchyma is described as an
elastic homogenized media. It is irrigated by a space‐filling dyadic resistive pipe network …

Pulmonary respiratory motion artifacts are common in four-dimensional computed
tomography (4DCT) of lungs and are caused by missing, duplicated, and misaligned image …

Objective: The sliding motion of the liver during respiration violates the homogeneous
motion smoothness assumption in conventional nonrigid image registration and commonly …

Topological changes like sliding motion, sources and sinks are a significant challenge in
image registration. This work proposes the use of the alternating direction method of …