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. 2021 Jul 28;49(2):539–549. doi: 10.1007/s00259-021-05478-x

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© The Author(s) 2021

Open AccessThis 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/.

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Fig. 2 — Visual comparison of different reconstruction methods and deep learning enhancement (DLE) models for different scan durations of a representative subject with a BMI of 35.0 kg/m² with an injected activity of 222 MBq scanned on GE Discovery MI (4-ring) PET/CT scanner (slice thickness 2.8 mm). BSREM = block sequential regularised expectation maximisation