Enhanced hyperspectral tomography for bioimaging by spatiospectral reconstruction

Autor: Ryan Warr, Evelina Ametova, Robert J. Cernik, Gemma Fardell, Stephan Handschuh, Jakob S. Jørgensen, Evangelos Papoutsellis, Edoardo Pasca, Philip J. Withers

Publikováno v: Scientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)

Abstract Here we apply hyperspectral bright field imaging to collect computed tomographic images with excellent energy resolution (~ 1 keV), applying it for the first time to map the distribution of stain in a fixed biological sample through its char

Externí odkaz: https://doaj.org/article/fbd0418c2ba348868bccf3f409a8992f

Core Imaging Library -- Part II: Multichannel reconstruction for dynamic and spectral tomography

Autor: William R. B. Lionheart, Martin Turner, Edoardo Pasca, Claire Delplancke, Evangelos Papoutsellis, Philip J. Withers, Gemma Fardell, Jakob Sauer Jørgensen, Evelina Ametova, Ryan Warr

Publikováno v: Philosophical Transactions of the Royal Society a-Mathematical Physical and Engineering Sciences
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Philosophical transactions of the Royal Society of London / A, 379 (2204), Art. Nr.: 20200193
Papoutsellis, E, Ametova, E, Delplancke, C, Fardell, G, Jørgensen, J S, Pasca, E, Turner, M, Warr, R, Lionheart, W R B & Withers, P J 2021, ' Core Imaging Library-Part II : multichannel reconstruction for dynamic and spectral tomography ', Royal Society of London. Proceedings A. Mathematical, Physical and Engineering Sciences, vol. 379, no. 2204, 20200193 . https://doi.org/10.1098/rsta.2020.0193
Papoutsellis, E, Ametova, E, Delplancke, C, Fardell, G, Jørgensen, J S, Pasca, E, Turner, M, Warr, R, Lionheart, W R B & Withers, P J 2021, ' Core Imaging Library-Part II : multichannel reconstruction for dynamic and spectral tomography ', Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 379, no. 2204, 20200193 . https://doi.org/10.1098/rsta.2020.0193

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 blocks for tailored regularized reconstruction algorithms and explicit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::886d856215d004df84af6700033faf76
http://arxiv.org/abs/2102.06126

Core Imaging Library - Part I: a versatile Python framework for tomographic imaging

Autor: Martin Turner, Evangelos Papoutsellis, Philip J. Withers, Genoveva Burca, Ryan Warr, Gemma Fardell, Kris Thielemans, Jakob Sauer Jørgensen, Evelina Ametova, William R. B. Lionheart, Edoardo Pasca

Publikováno v: Jørgensen, J S, Ametova, E, Burca, G, Fardell, G, Papoutsellis, E, Pasca, E, Thielemans, K, Turner, M, Warr, R, Lionheart, W R B & Withers, P J 2021, ' Core Imaging Library-Part I: a versatile Python framework for tomographic imaging ', Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 379, no. 2204, 20200192 . https://doi.org/10.1098/rsta.2020.0192
Jørgensen, J S, Ametova, E, Burca, G, Fardell, G, Papoutsellis, E, Pasca, E, Thielemans, K, Turner, M, Warr, R, Lionheart, W R B & Withers, P J 2021, ' Core Imaging Library-Part I : a versatile Python framework for tomographic imaging ', Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol. 379, no. 2204, 20200192 . https://doi.org/10.1098/rsta.2020.0192
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Philosophical Transactions of the Royal Society a-Mathematical Physical and Engineering Sciences
Philosophical transactions of the Royal Society of London / A, 379 (2204), Art. Nr.: 20200192

We present the Core Imaging Library (CIL), an open-source Python framework for tomographic imaging with particular emphasis on reconstruction of challenging datasets. Conventional filtered back-projection reconstruction tends to be insufficient for h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00809bf8c7ca2d237d324e111bf15116
https://doi.org/10.1098/rsta.2020.0192

A simulation-based study on the influence of the x-ray spectrum on the performance of multi-material beam hardening correction algorithms

Autor: Wim Dewulf, Wenchao Cao, Gemma Fardell, Tao Sun, Ben Price, Greet Kerckhofs

Publikováno v: Measurement Science and Technology. 29:095002

© 2018 IOP Publishing Ltd. Beam hardening artefacts caused by the polychromatic nature of the x-ray spectra are known to deteriorate the reconstructed image quality in multi-material industrial computed tomography. A variety of beam hardening correc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::22e99355f6236aaf101b8a39713495e7
https://doi.org/10.1088/1361-6501/aacba0

A simulation-based study on the influence of the x-ray spectrum on the performance of multi-material beam hardening correction algorithms.

Autor: Wenchao Cao, Tao Sun, Greet Kerckhofs, Gemma Fardell, Ben Price, Wim Dewulf

Publikováno v: Measurement Science & Technology; Sep2018, Vol. 29 Issue 9, p1-1, 1p