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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 2. — The kernel method for PET image reconstruction when using an MR image to provide the feature vectors for forming the spatial basis functions. This figure shows how this change of spatial basis can result in notable noise reduction even when just a small percentage of the original data are used.³⁴ The original KEM³² was based on similarities of 3-point time–activity curves for each voxel when deriving the spatial basis functions. KEM, kernel method; MLEM, maximum likelihood–expectation maximisation; PET, positron emission tomography.