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. 2021 Mar 14;16(4):597–607. doi: 10.1007/s11548-021-02334-z

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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. 6 — Concept for the reconstruction of 3D meshes for the patient-specific wall thickness and wall composition based on the segmented 2D histologic images. a image segmentation, b virtual inflation of segmented images, c contours derived from segmented and inflated images, d contours combined to 3D point clouds, e surface meshes from point clouds