Abstract
This special issue is the second part of a themed issue that focuses on synergistic tomographic image reconstruction and includes a range of contributions in multiple disciplines and application areas. The primary subject of study lies within inverse problems which are tackled with various methods including statistical and computational approaches. This volume covers algorithms and methods for a wide range of imaging techniques such as spectral X-ray computed tomography (CT), positron emission tomography combined with CT or magnetic resonance imaging, bioluminescence imaging and fluorescence-mediated imaging as well as diffuse optical tomography combined with ultrasound. Some of the articles demonstrate their utility on real-world challenges, either medical applications (e.g. motion compensation for imaging patients) or applications in material sciences (e.g. material decomposition and characterization). One of the desired outcomes of the special issues is to bring together different scientific communities which do not usually interact as they do not share the same platforms such as journals and conferences.This article is part of the theme issue ‘Synergistic tomographic image reconstruction: part 2’.
Highlights
Cite this article: Tsoumpas C, Sauer Jørgensen J, Kolbitsch C, Thielemans K. 2021 Synergistic tomographic image reconstruction: part 2
computed tomography (CT), 0000-0002-4971-2477; JSJ, 0000-0001-9114-754X; CK, 0000-0002-4355-8368; KT, 0000-0002-5514-199X. This special issue is the second part of a themed issue that focuses on synergistic tomographic image reconstruction and includes a range of contributions in multiple disciplines and application areas
Often research in this area is guided by the individual modalities (e.g. magnetic resonance imaging (MRI), X-ray computed tomography (CT) and positron emission tomography (PET) for medical imaging) or by different fields
Summary
Image reconstruction describes the process from acquired data to the corresponding image information. The first issue (Part 1) included three review articles and five research investigations [1] This is the second part of the issue, and focuses on novel concepts as well as methods and software tools that can be useful for multi-spectral and multi-modality imaging such as spectral X-ray CT, MRI, PET-MRI, PET/CT, bioluminescence imaging and fluorescencemediated imaging as well as diffuse optical tomography with ultrasound. Many of these techniques have been developed only recently and several potential synergies still need to be explored [2]
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