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pro vyhledávání: '"Jørgensen, Jakob Sauer"'
Autor:
Jørgensen, Jakob Sauer, Papoutsellis, Evangelos, Murgatroyd, Laura, Fardell, Gemma, Pasca, Edoardo
This article presents the algorithms developed by the Core Imaging Library (CIL) developer team for the Helsinki Tomography Challenge 2022. The challenge focused on reconstructing 2D phantom shapes from limited-angle computed tomography (CT) data. Th
Externí odkaz:
http://arxiv.org/abs/2310.01671
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 we need to use iterative solvers, and we need stopping rules for thes
Externí odkaz:
http://arxiv.org/abs/2106.10053
Akademický článek
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Autor:
Pedersen, Frederik Hagsholm1 fhape@dtu.dk, Jørgensen, Jakob Sauer1, Andersen, Martin Skovgaard1
Publikováno v:
Applied Mathematics in Science & Engineering. Dec2023, Vol. 31 Issue 1, p1-18. 18p.
This article provides a mathematical analysis of singular (nonsmooth) artifacts added to reconstructions by filtered backprojection (FBP) type algorithms for X-ray CT with arbitrary incomplete data. We prove that these singular artifacts arise from p
Externí odkaz:
http://arxiv.org/abs/1707.03055
Autor:
Kongskov, Rasmus Dalgas, Jørgensen, Jakob Sauer, Poulsen, Henning Friis, Hansen, Per Christian
Classical reconstruction methods for phase-contrast tomography consist of two stages: phase retrieval and tomographic reconstruction. A novel algebraic method combining the two was suggested by Kostenko et al. (Opt. Express, 21, 12185, 2013) and prel
Externí odkaz:
http://arxiv.org/abs/1505.02740
Akademický článek
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Autor:
Ametova, Evelina, Burca, Genoveva, Fardell, Gemma, Jørgensen, Jakob Sauer, Papoutsellis, Evangelos, Pasca, Edoardo, Warr, Ryan, Turner, Martin, Lionheart, William R.B., Withers, Philip J.
Publikováno v:
Ametova, E, Burca, G, Fardell, G, Jørgensen, J S, Papoutsellis, E, Pasca, E, Warr, R, Turner, M, Lionheart, W R B & Withers, P J 2021, Joint reconstruction with a correlative regularisation technique for multi-channel neutron tomography . in Proceedings of the 16 th International Meeting on Fully 3D Image Reconstruction in Radiology and Nuclear Medicine . pp. 431--434, 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Leuven, Belgium, 19/07/2021 .
These proceedings contain the presented papers at the 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2021, which was to be held in Leuven, Belgium, but had to be transformed in a virtual m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::aeb33e8144d2573ab72a95f0cfaf5197
https://orbit.dtu.dk/en/publications/227a9395-74b9-4136-a26a-0203a1ec49da
https://orbit.dtu.dk/en/publications/227a9395-74b9-4136-a26a-0203a1ec49da
Akademický článek
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Autor:
Fisher, Sarah L, Holmes, Danny, Jørgensen, Jakob Sauer, Gajjar, Parmesh, Behnsen, Julia, Lionheart, William R B, Withers, Philip J
Publikováno v:
Fisher, S L, Holmes, D, Jørgensen, J S, Gajjar, P, Behnsen, J, Lionheart, W R B & Withers, P J 2019, ' Laminography in the Lab: Imaging planar objects using a conventional x-ray CT scanner ', Measurement Science and Technology, vol. 30, no. 3 . https://doi.org/10.1088/1361-6501/aafcae
Whilst x-ray micro Computed Tomography (CT) machines have developed into a popular laboratory tool for non-destructive 3D imaging of materials, they are not well-suited for scanning flat objects for which there is an increasing demand. Computed Lamin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3818::f54bb4e1ce9ff66aefbacaab136e72c8
https://doi.org/10.1088/1361-6501/aafcae
https://doi.org/10.1088/1361-6501/aafcae