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Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging

Hospitals often hold historical MR image data printed on films without being able to make it accessible to modern image processing techniques. Having the possibility to recover geometrically consistent, volumetric images from scans acquired decades ago will enable more comprehensive, longitudinal st...

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Detalles Bibliográficos
Autores principales: Ebner, Michael, Chung, Karen K., Prados, Ferran, Cardoso, M. Jorge, Chard, Declan T., Vercauteren, Tom, Ourselin, Sébastien
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737406/
https://www.ncbi.nlm.nih.gov/pubmed/29017867
http://dx.doi.org/10.1016/j.neuroimage.2017.09.056
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author Ebner, Michael
Chung, Karen K.
Prados, Ferran
Cardoso, M. Jorge
Chard, Declan T.
Vercauteren, Tom
Ourselin, Sébastien
author_facet Ebner, Michael
Chung, Karen K.
Prados, Ferran
Cardoso, M. Jorge
Chard, Declan T.
Vercauteren, Tom
Ourselin, Sébastien
author_sort Ebner, Michael
collection PubMed
description Hospitals often hold historical MR image data printed on films without being able to make it accessible to modern image processing techniques. Having the possibility to recover geometrically consistent, volumetric images from scans acquired decades ago will enable more comprehensive, longitudinal studies to understand disease progressions. In this paper, we propose a consistent framework to reconstruct a volumetric representation from printed films holding thick single-slice brain MR image acquisitions dating back to the 1980's. We introduce a flexible framework based on semi-automatic slice extraction, followed by automated slice-to-volume registration with inter-slice transformation regularisation and slice intensity correction. Our algorithm is robust against numerous detrimental effects being present in archaic films. A subsequent, isotropic total variation deconvolution technique revitalises the visual appearance of the obtained volumes. We assess the accuracy and perform the validation of our reconstruction framework on a uniquely long-term MRI dataset where a ground-truth is available. This method will be used to facilitate a robust longitudinal analysis spanning 30 years of MRI scans.
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spelling pubmed-57374062018-01-15 Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging Ebner, Michael Chung, Karen K. Prados, Ferran Cardoso, M. Jorge Chard, Declan T. Vercauteren, Tom Ourselin, Sébastien Neuroimage Article Hospitals often hold historical MR image data printed on films without being able to make it accessible to modern image processing techniques. Having the possibility to recover geometrically consistent, volumetric images from scans acquired decades ago will enable more comprehensive, longitudinal studies to understand disease progressions. In this paper, we propose a consistent framework to reconstruct a volumetric representation from printed films holding thick single-slice brain MR image acquisitions dating back to the 1980's. We introduce a flexible framework based on semi-automatic slice extraction, followed by automated slice-to-volume registration with inter-slice transformation regularisation and slice intensity correction. Our algorithm is robust against numerous detrimental effects being present in archaic films. A subsequent, isotropic total variation deconvolution technique revitalises the visual appearance of the obtained volumes. We assess the accuracy and perform the validation of our reconstruction framework on a uniquely long-term MRI dataset where a ground-truth is available. This method will be used to facilitate a robust longitudinal analysis spanning 30 years of MRI scans. Academic Press 2018-01-15 /pmc/articles/PMC5737406/ /pubmed/29017867 http://dx.doi.org/10.1016/j.neuroimage.2017.09.056 Text en © 2017 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ebner, Michael
Chung, Karen K.
Prados, Ferran
Cardoso, M. Jorge
Chard, Declan T.
Vercauteren, Tom
Ourselin, Sébastien
Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging
title Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging
title_full Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging
title_fullStr Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging
title_full_unstemmed Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging
title_short Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging
title_sort volumetric reconstruction from printed films: enabling 30 year longitudinal analysis in mr neuroimaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5737406/
https://www.ncbi.nlm.nih.gov/pubmed/29017867
http://dx.doi.org/10.1016/j.neuroimage.2017.09.056
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