Mayer, J;
Thielemans, K;
Ovtchinnikov, E;
Atkinson, D;
Marsden, P;
Schaffter, T;
Kolbitsch, C;
(2019)
Flexible numerical simulation framework for dynamic PET-MRI.
In:
Proceedings of International Society for Magnetic Resonance in Medicine (ISMRM) 27th Annual Meeting & Exhibition.
(pp. p. 6235).
International Society for Magnetic Resonance in Medicine: Montreal, Canada.
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Abstract
A numerical simulation framework for dynamic simultaneous PET- MR is presented, which allows for simulated data acquisition of different anatomy with cardiac and respiratory motion and dynamic contrast changes (due to MR contrast agent or PET tracer changes over time). The output of the simulation framework is provided in ISMRMRD and PET interfile raw data format and can be directly used in a range of available reconstruction packages. The reconstructed PET and MR images of the simulated data were compared to an in-vivo patient scan demonstrating that the simulation framework yields realistic data.
Type: | Proceedings paper |
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Title: | Flexible numerical simulation framework for dynamic PET-MRI |
Event: | International Society for Magnetic Resonance in Medicine (ISMRM) 27th Annual Meeting & Exhibition |
Location: | Montreal, Canada |
Dates: | 11 May 2019 - 16 May 2019 |
Open access status: | An open access version is available from UCL Discovery |
Publisher version: | https://www.ismrm.org/smrt/19m/ |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging |
URI: | https://discovery.ucl.ac.uk/id/eprint/10068901 |




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