2 citations · 2 across the 5 of their papers we have counts for
7 papers
Low-rank flat-field correction for artifact reduction in spectral computed tomography
Katrine O Bangsgaard, Genoveva Burca, Evelina Ametova +2
Spectral computed tomography has received considerable interest in recent years since spectral measurements contain much richer information about the object of interest. In spectra…
A Bayesian Approach to CT Reconstruction with Uncertain Geometry
Frederik H. Pedersen, Jakob S. Jørgensen, Martin S. Andersen
Computed tomography is a method for synthesizing volumetric or cross-sectional images of an object from a collection of projections. Popular reconstruction methods for computed tom…
Stopping Rules for Algebraic Iterative Reconstruction Methods in Computed Tomography
Per Christian Hansen, Jakob Sauer Jørgensen, Peter Winkel Rasmussen
Algebraic models for the reconstruction problem in X-ray computed tomography (CT) provide a flexible framework that applies to many measurement geometries. For large-scale problems…
Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography
Evangelos Papoutsellis, Evelina Ametova, Claire Delplancke +7
The newly developed Core Imaging Library (CIL) is a flexible plug and play library for tomographic imaging with a specific focus on iterative reconstruction. CIL provides building…
Core Imaging Library -- Part I: a versatile Python framework for tomographic imaging
Jakob S. Jørgensen, Evelina Ametova, Genoveva Burca +8
We present the Core Imaging Library (CIL), an open-source Python framework for tomographic imaging with particular emphasis on reconstruction of challenging datasets. Conventional…
Few-view single photon emission computed tomography (SPECT) reconstruction based on a blurred piecewise constant object model
Paul A Wolf, Jakob H Jørgensen, Taly G Schmidt +1
A sparsity-exploiting algorithm intended for few-view Single Photon Emission Computed Tomography (SPECT) reconstruction is proposed and characterized. The algorithm models the obje…