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. 2018 Feb 12;8:13. doi: 10.1186/s13550-018-0366-8

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© The Author(s). 2018

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Fig. 2 — Intraclass correlation coefficient (ICC) across the considered datasets. Each point in the plot, for a given dataset, represents a particular region of interest (ROI) so that the plot represents the variability of ICC across the considered ROIs. For each data set, DS1, DS2, DS3, DS4, and DS5, there were three quantification methods investigated (1, 2, and L denote one-tissue compartment model, two-tissue compartment model, and likelihood estimation in graphical analysis, respectively)