In emission tomography statistically based iterative methods can improve image quality
relative to analytic image reconstruction through more accurate physical and statistical …

In x-ray tomography, the structure of a three-dimensional body is reconstructed from a
collection of projection images of the body. Medical CT imaging does this using an extensive …

Many material and biological samples in scientific imaging are characterized by nonlocal
repeating structures. These are studied using scanning electron microscopy and electron …

PET image reconstruction is challenging due to the ill-poseness of the inverse problem and
limited number of detected photons. Recently, the deep neural networks have been widely …

Multislice helical computed tomography scanning offers the advantages of faster acquisition
and wide organ coverage for routine clinical diagnostic purposes. However, image …

Terahertz and millimeter waves penetrate various dielectric materials, including plastics,
ceramics, crystals, and concrete, allowing terahertz transmission and reflection images to be …

This paper examines the spatial resolution properties of penalized-likelihood image
reconstruction methods by analyzing the local impulse response. The analysis shows that …

A new iterative maximum-likelihood reconstruction algorithm for X-ray computed
tomography is presented. The algorithm prevents beam hardening artifacts by incorporating …

We review positron-emission tomography (PET), which has inherent advantages that avoid
the shortcomings of other nuclear medicine imaging methods. PET image reconstruction …

Over the past years there has been considerable interest in statistically optimal
reconstruction of cross-sectional images from tomographic data. In particular, a variety of …