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(An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods

Arridge, SR; Ehrhardt, MJ; Thielemans, K; (2021) (An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , 379 (2200) , Article 20200205. 10.1098/rsta.2020.0205. Green open access

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Abstract

Imaging is omnipresent in modern society with imaging devices based on a zoo of physical principles, probing a specimen across different wavelengths, energies and time. Recent years have seen a change in the imaging landscape with more and more imaging devices combining that which previously was used separately. Motivated by these hardware developments, an ever increasing set of mathematical ideas is appearing regarding how data from different imaging modalities or channels can be synergistically combined in the image reconstruction process, exploiting structural and/or functional correlations between the multiple images. Here we review these developments, give pointers to important challenges and provide an outlook as to how the field may develop in the forthcoming years. This article is part of the theme issue 'Synergistic tomographic image reconstruction: part 1'.

Type: Article
Title: (An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1098/rsta.2020.0205
Publisher version: https://doi.org/10.1098/rsta.2020.0205
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions.
Keywords: inverse problems, multi-modality imaging, regularization, synergistic image reconstruction
UCL classification: UCL
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 Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
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 Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10128376
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