Abstract Optical Flow Estimation is an essential component for many image processing
techniques. This field of research in computer vision has seen an amazing development in …

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 …

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

Regularization-based methods are commonly used for image registration. However, fixed
regularizers have limitations in capturing details and describing the dynamic registration …

The objective of this work is to segment any arbitrary structures of interest (SOI) in 3D
volumes by only annotating a single slice,(ie semi-automatic 3D segmentation). We show …

In materials science research digital volume correlation (DVC) analysis is commonly used to
track deformations and strains to elucidate morphology-function relationships. Optical flow …

Scan-line optimization via cost accumulation has become very popular for stereo estimation
in computer vision applications and is often combined with a semi-global cost integration …

Cone-beam CT (CBCT) is a widely used intra-operative imaging modality in image-guided
radiotherapy and surgery. A short scan followed by a filtered-backprojection is typically used …

Deformable image registration is an important step in medical image analysis. It enables an
automatic labelling of anatomical structures using atlas-based segmentation, motion …

To solve the problem that traditional image registration methods based on continuous
optimization for large motion lung 4D CT image sequences are easy to fall into local optimal …