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

Author:

Arridge Simon R.1ORCID,Ehrhardt Matthias J.23ORCID,Thielemans Kris4ORCID

Affiliation:

1. Department of Computer Science, University College London, London, UK

2. Department of Mathematical Sciences, University of Bath, Bath, UK

3. Institute for Mathematical Innovation, University of Bath, Bath, UK

4. Institute of Nuclear Medicine, University College London, London, UK

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’.

Funder

Leverhulme Trust

Faraday Institute for Science and Religion

Engineering and Physical Sciences Research Council

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

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