… new technologies of radiographic and radioisotopic image reconstruction. The most important
… Cho ZH, Ahn IS: Computer algorithm for the tomographic image reconstruction with x-ray …

… tomographic methods to geodesy and to volcanology. However, we concentrate on the application
in which image reconstruction … X-ray transmission computerized tomography (CT) is …

… as "image reconstruction from projections". … for image reconstruction in the major subfields
of ECT, which are positron emission tomography (PET) and single-photon emission computed …

… In this study, we focused on advancing the accuracy of CT image reconstruction from few
views and limited views. Accurate reconstruction results will increase the probability of the …

… This review will discuss applications of artificial intelligence (AI) within CT image
reconstruction. A history of CT image reconstruction techniques will be discussed in terms of its …

Purpose Deep neural network‐based image reconstruction has demonstrated promising
performance in medical imaging for undersampled and low‐dose scenarios. However, it …

In this paper we describe an investigation into the application of deep learning methods for
low-dose and sparse angle computed tomography using small training datasets. To motivate …

… General scientific summary In this paper, we present a strategy to reconstruct x-ray low-dose
computed tomography images from sparse-view projection data by developing a novel …

… for X-ray computed tomography (CT) image reconstruction that is faster than the … CT image
reconstruction is the process of reconstructing a cross-sectional image from a sinogram image …

… reconstruction algorithms for X-ray computed tomography (CT), we address the need for faster
reconstruction … For a decent, a conebeam reconstruction usually takes hours on a regular …