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. 2023 Sep 4;96(1150):20230292. doi: 10.1259/bjr.20230292

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© 2023 The Authors. Published by the British Institute of Radiology

This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 Unported License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

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Figure 3. — Representation of the performance of direct AI (purely data-driven) methods through the example of DeepPET¹¹ and recent modifications.^39,40 The example sinogram input and DeepPET reconstructed output are courtesy of Kuangyu Shi, related to their work on improving the performance for long-axial FOV PET, with their result shown as the output of the network here (image in row 2 of the figure).⁴⁰ FOV, field of view; PET, positron emission tomography.