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. 2020 May 12;24(12):4301–4311. doi: 10.1007/s00784-020-03294-5

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© The Author(s) 2020

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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Fig. 2 — Example of the iterative approach to the overlay of baseline and follow-up datasets: a overlay over the entire occlusal surface; b color-coded representation of the differences between baseline and follow-up data after the first overlay; c exclusion of areas with antagonistic wear, to achieve fitting of the areas that are not changing; d color-coded representation of the differences between baseline and follow-up data after superimposing and exclusion of the worn surfaces. This procedure was iterated until the overlay error no longer changed