The classic imaging geometry for computed tomography is for the collection of un-truncated
projections and the reconstruction of a global image, with the Fourier transform as the …

Inverse problems arise from the need to interpret indirect and incomplete measurements. As
an area of contemporary mathematics, the field of inverse problems is strongly driven by …

Limited angle reconstruction is a typical ill-posed problem in computed tomography (CT).
Given incomplete projection data, images reconstructed by conventional analytical …

A wavelet-based sparsity-promoting reconstruction method is studied in the context of
tomography with severely limited projection data. Such imaging problems are ill-posed …

X-ray Computed Tomography (CT) imaging has been widely used in clinical diagnosis, non-
destructive examination, and public safety inspection. Sparse-view (sparse view) CT has …

Sparse-view CT imaging has been a hot topic in the medical imaging field. By decreasing
the number of views, dose delivered to patients can be significantly reduced. However …

Full-field transmission X-ray microscopy (TXM) is a well established technique, available at
various synchrotron beamlines around the world as well as by laboratory benchtop devices …

Linear scan computed tomography (CT) is a promising imaging configuration with high
scanning efficiency while the data set is under-sampled and angularly limited for which high …

Total generalized variation (TGV)-based computed tomography (CT) image reconstruction,
which utilizes high-order image derivatives, is superior to total variation-based methods in …

Considerable recent activity is aimed at reconstructing images from a few projections.
Images in any application area are not random samples of all possible images, but have …