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

TomoPhantom, a software package to generate 2D–4D analytical phantoms for CT image reconstruction algorithm benchmarks

Autor: Daniil Kazantsev, Valery Pickalov, Srikanth Nagella, Edoardo Pasca, Philip J. Withers

Publikováno v: SoftwareX, Vol 7, Iss , Pp 150-155 (2018)

In the field of computerized tomographic imaging, many novel reconstruction techniques are routinely tested using simplistic numerical phantoms, e.g. the well-known Shepp–Logan phantom. These phantoms cannot sufficiently cover the broad spectrum of

Externí odkaz: https://doaj.org/article/0253d579f7404b5da167539de1c3690b

CCPi-Regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms

Autor: Philip J. Withers, Edoardo Pasca, Martin Turner, Daniil Kazantsev

Publikováno v: SoftwareX, Vol 9, Iss, Pp 317-323 (2019)
Kazantsev, D, Pasca, E, Turner, M J & Withers, P J 2019, ' CCPi-Regularisation toolkit for computed tomographic image reconstruction with proximal splitting algorithms ', SoftwareX, vol. 9, pp. 317-323 . https://doi.org/10.1016/j.softx.2019.04.003

Iterative reconstruction algorithms are often needed to help solve ill-posed inverse problems in computed tomography (CT), especially cases when tomographic projection data are corrupt, noisy or angularly undersampled. Model-based iterative methods c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffe4d13c75bb380f5b9c94ad0714ba93
http://www.sciencedirect.com/science/article/pii/S2352711018301912

TomoPhantom, a software package to generate 2D–4D analytical phantoms for CT image reconstruction algorithm benchmarks

Autor: Edoardo Pasca, Philip J. Withers, Srikanth Nagella, V. V. Pickalov, Daniil Kazantsev

Publikováno v: SoftwareX, Vol 7, Iss, Pp 150-155 (2018)
Kazantsev, D, Pickalov, V, Nagella, S, Pasca, E & Withers, P 2018, ' TomoPhantom, a software package to generate 2D–4D analytical phantoms for CT image reconstruction algorithm benchmarks ', SoftwareX, vol. 7, pp. 150-155 . https://doi.org/10.1016/j.softx.2018.05.003

In the field of computerized tomographic imaging, many novel reconstruction techniques are routinely tested using simplistic numerical phantoms, e.g. the well-known Shepp–Logan phantom. These phantoms cannot sufficiently cover the broad spectrum of

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f0c4545e710162dd8d5095f6bb9cadc
https://doi.org/10.1016/j.softx.2018.05.003

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