In this article, the authors review novel techniques in the emerging field of spatiotemporal
four‐dimensional (4D) positron emission tomography (PET) image reconstruction. The …

Medical image registration is an important task in medical image processing. It refers to the
process of aligning data sets, possibly from different modalities (eg, magnetic resonance …

Imaging is an interdisciplinary research area with profound applications in many areas of
science, engineering, technology, and medicine. The most primitive form of imaging is visual …

Purpose To assess the distribution and regional differences of flow and vessel wall
parameters such as wall shear stress (WSS) and oscillatory shear index (OSI) in the entire …

In the field of image segmentation, most level-set-based active-contour approaches take
advantage of a discrete representation of the associated implicit function. We present in this …

Digital applications have developed rapidly over the last few decades. Since many sources
of information are of analog or continuous-time nature, discrete-time signal processing …

We address the problem of estimating the uncertainty of pixel based image registration
algorithms, given just the two images to be registered, for cases when no ground truth data …

We propose an image interpolation algorithm that is nonparametric and learning-based,
primarily using an adaptive k-nearest neighbor algorithm with global considerations through …

Image empirical mode decomposition (IEMD) is an empirical mode decomposition concept
used in Hilbert–Huang transform (HHT) expanded into two dimensions for the use on …

Many image processing problems require the enhancement of crossing elongated
structures. These problems cannot easily be solved by commonly used coherence …