Synergistic tomographic image reconstruction: Part 1

Charalampos Tsoumpas*, Jakob Sauer Jørgensen, Christoph Kolbitsch, Kris Thielemans

*Bijbehorende auteur voor dit werk

OnderzoeksoutputAcademicpeer review

2 Citaten (Scopus)
5 Downloads (Pure)


This special issue focuses on synergistic tomographic image reconstruction in a range of contributions in multiple disciplines and various application areas. The topic of image reconstruction covers substantial inverse problems (Mathematics) which are tackled with various methods including statistical approaches (e.g. Bayesian methods, Monte Carlo) and computational approaches (e.g. machine learning, computational modelling, simulations). The issue is separated in two volumes. This volume focuses mainly on algorithms and methods. Some of the articles will demonstrate their utility on real-world challenges, either medical applications (e.g. cardiovascular diseases, proton therapy planning) or applications in material sciences (e.g. material decomposition and characterization). One of the desired outcomes of the special issue 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 1'.

Originele taal-2English
Aantal pagina's5
TijdschriftPhilosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
Nummer van het tijdschrift2200
StatusPublished - 28-jun.-2021
Extern gepubliceerdJa

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