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Fast and noise-tolerant determination of the center of rotation in tomography

High-quality tomographic reconstruction is not possible without the accurate localization of the center of rotation. Poor localization leads to artifacts in the data and can even cause reconstructions to fail. There are many approaches to solving this problem, some of which involve the collection of...

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Detalles Bibliográficos
Autores principales: Vacek, Everett, Jacobsen, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Union of Crystallography 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900868/
https://www.ncbi.nlm.nih.gov/pubmed/35254313
http://dx.doi.org/10.1107/S1600577521012777
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author Vacek, Everett
Jacobsen, Chris
author_facet Vacek, Everett
Jacobsen, Chris
author_sort Vacek, Everett
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description High-quality tomographic reconstruction is not possible without the accurate localization of the center of rotation. Poor localization leads to artifacts in the data and can even cause reconstructions to fail. There are many approaches to solving this problem, some of which involve the collection of full sinograms, or even provisional tomographic reconstructions, in order to determine the center of rotation. Here, a simple method based on the expected symmetry of the Fourier transform of summed projections approximately 180° apart is presented; unlike cross-correlation methods, it requires only a single Fourier transform to compute, and uses mainly low spatial frequency information which is less susceptible to noise. This approach is shown to be fast, and robust against poor signal-to-noise as well as to projection images acquired at angles that are not exactly 180° apart. This rapid method can be useful as a first step in the processing of tomographic data.
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spelling pubmed-89008682022-03-29 Fast and noise-tolerant determination of the center of rotation in tomography Vacek, Everett Jacobsen, Chris J Synchrotron Radiat Research Papers High-quality tomographic reconstruction is not possible without the accurate localization of the center of rotation. Poor localization leads to artifacts in the data and can even cause reconstructions to fail. There are many approaches to solving this problem, some of which involve the collection of full sinograms, or even provisional tomographic reconstructions, in order to determine the center of rotation. Here, a simple method based on the expected symmetry of the Fourier transform of summed projections approximately 180° apart is presented; unlike cross-correlation methods, it requires only a single Fourier transform to compute, and uses mainly low spatial frequency information which is less susceptible to noise. This approach is shown to be fast, and robust against poor signal-to-noise as well as to projection images acquired at angles that are not exactly 180° apart. This rapid method can be useful as a first step in the processing of tomographic data. International Union of Crystallography 2022-01-19 /pmc/articles/PMC8900868/ /pubmed/35254313 http://dx.doi.org/10.1107/S1600577521012777 Text en © Vacek and Jacobsen 2022 https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution (CC-BY) Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are cited.
spellingShingle Research Papers
Vacek, Everett
Jacobsen, Chris
Fast and noise-tolerant determination of the center of rotation in tomography
title Fast and noise-tolerant determination of the center of rotation in tomography
title_full Fast and noise-tolerant determination of the center of rotation in tomography
title_fullStr Fast and noise-tolerant determination of the center of rotation in tomography
title_full_unstemmed Fast and noise-tolerant determination of the center of rotation in tomography
title_short Fast and noise-tolerant determination of the center of rotation in tomography
title_sort fast and noise-tolerant determination of the center of rotation in tomography
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8900868/
https://www.ncbi.nlm.nih.gov/pubmed/35254313
http://dx.doi.org/10.1107/S1600577521012777
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