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

Ebner, M; Chung, K; Prados Carrasco, F; Cardoso, MJ; Chard, DT; Vercauteren, T; Ourselin, S; (2017) Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging. NeuroImage 10.1016/j.neuroimage.2017.09.056. (In press). Green open access

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Abstract

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.

Type: Article
Title: Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.neuroimage.2017.09.056
Publisher version: https://doi.org/10.1016/j.neuroimage.2017.09.056
Language: English
Additional information: Published under a Creative Commons license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Historical MR film data, Brain MRI, Regularized image registration, Total variation reconstruction, Longitudinal analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Neuroinflammation
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10024575
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