UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
(An overview of) Synergistic reconstruction for multimodality/multichannel imaging methods.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Article
  • Authors:
    Arridge SR, Ehrhardt MJ, Thielemans K
  • Publisher:
    Royal Society, The
  • Publication date:
    28/06/2021
  • Pagination:
    20200205
  • Journal:
    Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
  • Volume:
    379
  • Issue:
    2200
  • Status:
    Published
  • Country:
    England
  • Print ISSN:
    1364-503X
  • Language:
    eng
  • Keywords:
    inverse problems, multi-modality imaging, regularization, synergistic image reconstruction
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'.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Dept of Computer Science
Author
Department of Imaging
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by