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. 2018 Feb 13;8:2921. doi: 10.1038/s41598-018-21333-w

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© The Author(s) 2018

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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Geometric reconstruction. (A) A MATLAB graphical user interface was developed to facilitate accurate identification of the heart silhouettes needed for geometric reconstruction. A detailed description and the code are included in the toolkit. (B) The heart was rotated, and binary silhouette images were collected every 5 degrees. (C) Using the occluding contours method paired with an octree algorithm a series of voxels are iteratively broken down to identify the heart volume. (D) The surface mesh is generated by MATLAB from this volume and smoothed by external C function.