83 citations · 289 across the 18 of their papers we have counts for
21 papers
Bridging powder and multi-crystal diffraction with basis-adaptive texture tomography
Martin Sæbye Carøe, Mads Allerup Carlsen, Felix Tristan Frankus +7
In spatially resolved X-ray diffraction experiments using narrow beams, diffraction patterns from polycrystalline materials often fall between two well-served regimes. Fine-grained…
Systematic Analysis of Penalty-Optimised Illumination Design for Tomographic Volumetric Additive Manufacturing via the Extendable Framework TVAM AID Using the Core Imaging Library
Nicole Pellizzon, Richard Huber, Jon Spangenberg +1
Tomographic Volumetric Additive Manufacturing(TVAM) is a novel manufacturing method that allows for the fast creation of objects of complex geometry in layerless fashion. The proce…
Direct detection of hydrogen reveals a new macroscopic crustal water reservoir on early Mars
Estrid Buhl Naver, Katrine Wulff Nikolajsen, Martin Sæbye Carøe +13
The next great leap in Martian exploration will be the return of samples to Earth. To ensure the maximum scientific return from studying these samples, the development and utilisat…
CUQIpy: II. Computational uncertainty quantification for PDE-based inverse problems in Python
Amal M A Alghamdi, Nicolai A B Riis, Babak M Afkham +4
Inverse problems, particularly those governed by Partial Differential Equations (PDEs), are prevalent in various scientific and engineering applications, and uncertainty quantifica…
CUQIpy: I. Computational uncertainty quantification for inverse problems in Python
Nicolai A B Riis, Amal M A Alghamdi, Felipe Uribe +4
This paper introduces CUQIpy, a versatile open-source Python package for computational uncertainty quantification (UQ) in inverse problems, presented as Part I of a two-part series…
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…
Structural Gaussian Priors for Bayesian CT reconstruction of Subsea Pipes
Silja L. Christensen, Nicolai A. B. Riis, Felipe Uribe +1
A non-destructive testing (NDT) application of X-ray computed tomography (CT) is inspection of subsea pipes in operation via 2D cross-sectional scans. Data acquisition is time-cons…
Iterative image reconstruction for CT with unmatched projection matrices using the generalized minimal residual algorithm
Emil Y. Sidky, Per Christian Hansen, Jakob S. Jørgensen +1
The generalized minimal residual (GMRES) algorithm is applied to image reconstruction using linear computed tomography (CT) models. The GMRES algorithm iteratively solves square, n…
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…
Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction
Ryan Warr, Evelina Ametova, Robert J. Cernik +6
Here we apply hyperspectral bright field imaging to collect computed tomographic images with excellent energy resolution (800 eV), applying it for the first time to map the distrib…
Crystalline phase discriminating neutron tomography using advanced reconstruction methods
Evelina Ametova, Genoveva Burca, Suren Chilingaryan +8
Time-of-flight neutron imaging offers complementary attenuation contrast to X-ray computed tomography (CT), coupled with the ability to extract additional information from the vari…
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…
Analyzing Reconstruction Artifacts from Arbitrary Incomplete X-ray CT Data
Leise Borg, Jurgen Frikel, Jakob Sauer Jorgensen +1
This article provides a mathematical analysis of singular (nonsmooth) artifacts added to reconstructions by filtered backprojection (FBP) type algorithms for X-ray CT with arbitrar…
Noise Robustness of a Combined Phase Retrieval and Reconstruction Method for Phase-Contrast Tomography
Rasmus Dalgas Kongskov, Jakob Sauer Jørgensen, Henning Friis Poulsen +1
Classical reconstruction methods for phase-contrast tomography consist of two stages: phase retrieval and tomographic reconstruction. A novel algebraic method combining the two was…
How little data is enough? Phase-diagram analysis of sparsity-regularized X-ray CT
Jakob S. Jørgensen, Emil Y. Sidky
We introduce phase-diagram analysis, a standard tool in compressed sensing, to the X-ray CT community as a systematic method for determining how few projections suffice for accurat…
Testable uniqueness conditions for empirical assessment of undersampling levels in total variation-regularized x-ray CT
Jakob S. Jørgensen, Christian Kruschel, Dirk A. Lorenz
We study recoverability in fan-beam computed tomography (CT) with sparsity and total variation priors: how many underdetermined linear measurements suffice for recovering images of…
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…
Empirical average-case relation between undersampling and sparsity in x-ray CT
Jakob S. Jørgensen, Emil Y. Sidky, Per Christian Hansen +1
In x-ray computed tomography (CT) it is generally acknowledged that reconstruction methods exploiting image sparsity allow reconstruction from a significantly reduced number of pro…
First-order convex feasibility algorithms for iterative image reconstruction in X-ray CT
Emil Y. Sidky, Jakob S. Jørgensen, Xiaochuan Pan
Iterative image reconstruction (IIR) algorithms in Computed Tomography (CT) are based on algorithms for solving a particular optimization problem. Design of the IIR algorithm, ther…