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. 2021 Jul 26;11:69. doi: 10.1186/s13550-021-00810-w

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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. 5 — Flowchart of transforming ldCT and PET into diagnostic hdCT space, calculation of intensity based (dis)similarity parameters, distance-based registration’s quality-judging metrics as well as calculation of correlation between intensity- and distance-based parameters. The flowchart also displays the steps necessary to determine the confidence intervals of MI (see detailed explanation in the text)