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. 2022 Oct 7;12:16829. doi: 10.1038/s41598-022-21269-2

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© The Author(s) 2022

Open Access 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/.

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Parameter maps for the bi-exponential model fitted using the three different sampling schedules on the first volunteer dataset. The combined NAE uses the weighting vector used in the optimization to average the voxel-wise over different parameters. Image created using Matlab²⁷ and Inkscape²⁸.