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Methodology for estimation of undeformed thickness of arterial tissues
Soft tissue sample thickness measurement is one of the major sources of differences between mechanical responses published by different groups. New method for the estimation of unloaded sample thickness of soft tissues is proposed in this study. Ten 30 × 30 mm and ten 20 × 20 mm samples of porcine a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935509/ https://www.ncbi.nlm.nih.gov/pubmed/36797267 http://dx.doi.org/10.1038/s41598-023-28871-y |
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author | Schwarz, David Fleisman, Jiri Vitasek, Radek Polzer, Stanislav |
author_facet | Schwarz, David Fleisman, Jiri Vitasek, Radek Polzer, Stanislav |
author_sort | Schwarz, David |
collection | PubMed |
description | Soft tissue sample thickness measurement is one of the major sources of differences between mechanical responses published by different groups. New method for the estimation of unloaded sample thickness of soft tissues is proposed in this study. Ten 30 × 30 mm and ten 20 × 20 mm samples of porcine anterior thoracic aortas were loaded by gradually increased radial force. Their deformed thickness was then recorded in order to generate a pressure-thickness response. Next, the limit pressure to which the response can be considered linear was estimated. Line was fitted to the linear part of the curve and extrapolated towards zero pressure to estimate unloaded thickness (7 kPa fit). For comparison, data near zero pressure were fitted separately and extrapolated towards zero (Near Zero fit). The limit pressure for the linearity of the response was around 7 kPa. The Unloaded thickness for 30 × 30 mm samples was 2.68 ± 0.31 mm and 2.68 ± 0.3 mm for Near Zero fit and 7 kPa fit, respectively. The Unloaded thickness for 20 × 20 mm samples was 2.60 ± 0.35 mm and 2.59 ± 0.35 mm for Near Zero fit and 7 kPa fit, respectively. The median of thickness difference between smaller and larger samples was not found statistically different. Proposed method can estimate unloaded undeformed sample thickness quickly and reliably. |
format | Online Article Text |
id | pubmed-9935509 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-99355092023-02-18 Methodology for estimation of undeformed thickness of arterial tissues Schwarz, David Fleisman, Jiri Vitasek, Radek Polzer, Stanislav Sci Rep Article Soft tissue sample thickness measurement is one of the major sources of differences between mechanical responses published by different groups. New method for the estimation of unloaded sample thickness of soft tissues is proposed in this study. Ten 30 × 30 mm and ten 20 × 20 mm samples of porcine anterior thoracic aortas were loaded by gradually increased radial force. Their deformed thickness was then recorded in order to generate a pressure-thickness response. Next, the limit pressure to which the response can be considered linear was estimated. Line was fitted to the linear part of the curve and extrapolated towards zero pressure to estimate unloaded thickness (7 kPa fit). For comparison, data near zero pressure were fitted separately and extrapolated towards zero (Near Zero fit). The limit pressure for the linearity of the response was around 7 kPa. The Unloaded thickness for 30 × 30 mm samples was 2.68 ± 0.31 mm and 2.68 ± 0.3 mm for Near Zero fit and 7 kPa fit, respectively. The Unloaded thickness for 20 × 20 mm samples was 2.60 ± 0.35 mm and 2.59 ± 0.35 mm for Near Zero fit and 7 kPa fit, respectively. The median of thickness difference between smaller and larger samples was not found statistically different. Proposed method can estimate unloaded undeformed sample thickness quickly and reliably. Nature Publishing Group UK 2023-02-16 /pmc/articles/PMC9935509/ /pubmed/36797267 http://dx.doi.org/10.1038/s41598-023-28871-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Schwarz, David Fleisman, Jiri Vitasek, Radek Polzer, Stanislav Methodology for estimation of undeformed thickness of arterial tissues |
title | Methodology for estimation of undeformed thickness of arterial tissues |
title_full | Methodology for estimation of undeformed thickness of arterial tissues |
title_fullStr | Methodology for estimation of undeformed thickness of arterial tissues |
title_full_unstemmed | Methodology for estimation of undeformed thickness of arterial tissues |
title_short | Methodology for estimation of undeformed thickness of arterial tissues |
title_sort | methodology for estimation of undeformed thickness of arterial tissues |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935509/ https://www.ncbi.nlm.nih.gov/pubmed/36797267 http://dx.doi.org/10.1038/s41598-023-28871-y |
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