Mayer, Johannes https://orcid.org/0000-0002-2500-445X
Brown, Richard https://orcid.org/0000-0001-6989-9200
Thielemans, Kris https://orcid.org/0000-0002-5514-199X
Ovtchinnikov, Evgueni https://orcid.org/0000-0002-9359-6514
Pasca, Edoardo https://orcid.org/0000-0001-6957-2160
Atkinson, David https://orcid.org/0000-0003-1124-6666
Gillman, Ashley https://orcid.org/0000-0001-9130-1092
Marsden, Paul https://orcid.org/0000-0001-9892-9640
Ippoliti, Matteo https://orcid.org/0000-0002-3019-7647
Makowski, Marcus https://orcid.org/0000-0001-7719-8236
Schaeffter, Tobias https://orcid.org/0000-0003-1310-2631
Kolbitsch, Christoph https://orcid.org/0000-0002-4355-8368
Funding for this research was provided by:
Deutsche Forschungsgemeinschaft (GRK 2260 BIOQIC)
Engineering and Physical Sciences Research Council (EP/M022587/1)
Engineering and Physical Sciences Research Council (EP/P022200/1)
European Association of National Metrology Institutes (18HLT05)
Journal title: Physics in Medicine & Biology
Article type: paper
Article title: Flexible numerical simulation framework for dynamic PET-MR data
Copyright information: © 2020 Institute of Physics and Engineering in Medicine
License information: CC BY 3.0 Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Publication dates
Date received: 2019-12-20
Date accepted: 2020-03-11
Online publication date: 2020-07-07