Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners

Efthimiou, N, Thielemans, K, Emond, E et al. (3 more authors) (2020) Use of non-Gaussian time-of-flight kernels for image reconstruction of Monte Carlo simulated data of ultra-fast PET scanners. EJNMMI Physics, 7. 42. ISSN 2197-7364

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Copyright, Publisher and Additional Information: © The Author(s), 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Monte Carlo; Positron emission tomography; Photon travel spread; Depth of interaction; Fast timing
Dates:
  • Published: 19 June 2020
  • Accepted: 20 May 2020
  • Published (online): 19 June 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds)
Funding Information:
FunderGrant number
Royal SocietyIF170011
EPSRC (Engineering and Physical Sciences Research Council)EP/P022200/1/539256
Depositing User: Symplectic Publications
Date Deposited: 27 May 2020 14:27
Last Modified: 15 Oct 2021 09:33
Status: Published
Publisher: Springer Nature
Identification Number: https://doi.org/10.1186/s40658-020-00309-8

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