is a relatively new and promising approach to medical imaging. Total body (or so called Long Axial Field-Of-View) PET scanners offer several advantages over traditional PET scanners that can only scan limited areas of the body: complete scan of the entire body in a single session, reduced radiation exposure, more efficient workflow, better patient experience. They also introduce new challenges with regards to data handling, reconstruction, dynamic imaging. Finally total body PET scanners are expensive to purchase and maintain, which can limit their availability in many medical settings. Total body PET also produces a large amount of complex data that can be difficult to interpret and may require advanced methods like artificial intelligence to analyse the data.
Ultimately the success will depend on the efforts of our community (researchers, companies, clinicians) in obtaining, using and improving these systems. This collection aims to stimulate clinical users and researchers in the field to communicate their research to the community in order to accelerate the success of Total Body PET.
The collection is interested in papers containing sufficient amount of new Methodology/Physics. More clinically oriented papers shall be submitted to the European Journal of Nuclear Medicine and Molecular Imaging which features a parallel thematic collection on Total Body PET at https://link.springer.com/collections/gebeigfjff.
Prof. Kuangyu Shi is head of the Lab for Artificial Intelligence and Translational Theranostics at Dept. Nuclear Medicine, University of Bern, Switzerland and senior scientist at the Chair for Computer-aided Medical Procedure, Dept. Informatics, Technical University of Munich (TUM), Germany. He did his Master’s (2005) and PhD (2008) at Max-Planck Institute for Informatics, Germany. Before moving to the Technical University of Munich for postdoctoral research where he worked as subgroup leader at Dept. Nuclear Medicine from 2012 to 2018. On May 2018 he completed habilitation at Dept. Informatics of TUM. His research focuses on developing artificial intelligence and computational modelling methods for nuclear imaging and therapy and interpreting them to the underlying pathophysiology by designing corresponding in vivo and ex vivo experiments. He is currently member of physics committee of European Association of Nuclear Medicine (EANM), task group 36 of International Commission on Radiological Protection (ICRP) and serves as associate editors or members of editorial board of Eur J Nucl Med Mol Imaging, EJNMMI Physics, EJNMMI Research, Nuklearmedizin. He received the EANM Roger Perez award, young investigator award from SNMMI and VIP PET Prize.
Professor Dr Ir Charalampos (Harry) Tsoumpas is a Nuclear Physicist and a Biomedical Engineer who recently joined the University of Groningen as a Full Professor in Quantification in Molecular Diagnostics & Radionuclide Therapy as a member of the Nuclear Medicine and Molecular Imaging Department at the University Medical Centre Groningen. Prior to this appointment he was a Lecturer of Medical Imaging at the Biomedical Imaging Science Department, University of Leeds in the UK (2013-2021). He received his PhD on "Direct statistical parametric image estimation for linear pharmacokinetic models from quantitative positron emission tomography measurements" from Imperial College London in 2008 and worked as a post-doctoral fellow at King’s College London on PET-MRI from 2008 to 2013. He is Fellow of the Institute of Physics (IOP), Fellow of the Institute of Physics and Engineering in Medicine (IPEM), Fellow of Higher Education Academy, Senior Member of IEEE, Member of the IEEE Nuclear & Plasma Sciences Society and Member of the European Society for Molecular Imaging (ESMI). He has contributions in more than 100 peer-reviewed papers, 50 conference papers, 150 conference abstracts, two scientific magazine articles, two book chapters and two awarded international patents.