Mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix

Abstract A new metric for the quantitative and qualitative evaluation of bone stiffness is introduced. It is based on the spectral decomposition of stiffness matrix computed with finite element method. The here proposed metric is defined as an amplitude rescaled eigenvalues of stiffness matrix. The...

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Autores principales: Petr Henyš, Michal Kuchař, Petr Hájek, Niels Hammer
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Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/a65b99269c3744e69289eb0848483545
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spelling oai:doaj.org-article:a65b99269c3744e69289eb08484835452021-12-02T14:53:34ZMechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix10.1038/s41598-021-94998-52045-2322https://doaj.org/article/a65b99269c3744e69289eb08484835452021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-94998-5https://doaj.org/toc/2045-2322Abstract A new metric for the quantitative and qualitative evaluation of bone stiffness is introduced. It is based on the spectral decomposition of stiffness matrix computed with finite element method. The here proposed metric is defined as an amplitude rescaled eigenvalues of stiffness matrix. The metric contains unique information on the principal stiffness of bone and reflects both bone shape and material properties. The metric was compared with anthropometrical measures and was tested for sex sensitivity on pelvis bone. Further, the smallest stiffness of pelvis was computed under a certain loading condition and analyzed with respect to sex and direction. The metric complements anthropometrical measures and provides a unique information about the smallest bone stiffness independent from the loading configuration and can be easily computed by state-of-the-art subject specified finite element algorithms.Petr HenyšMichal KuchařPetr HájekNiels HammerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Petr Henyš
Michal Kuchař
Petr Hájek
Niels Hammer
Mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix
description Abstract A new metric for the quantitative and qualitative evaluation of bone stiffness is introduced. It is based on the spectral decomposition of stiffness matrix computed with finite element method. The here proposed metric is defined as an amplitude rescaled eigenvalues of stiffness matrix. The metric contains unique information on the principal stiffness of bone and reflects both bone shape and material properties. The metric was compared with anthropometrical measures and was tested for sex sensitivity on pelvis bone. Further, the smallest stiffness of pelvis was computed under a certain loading condition and analyzed with respect to sex and direction. The metric complements anthropometrical measures and provides a unique information about the smallest bone stiffness independent from the loading configuration and can be easily computed by state-of-the-art subject specified finite element algorithms.
format article
author Petr Henyš
Michal Kuchař
Petr Hájek
Niels Hammer
author_facet Petr Henyš
Michal Kuchař
Petr Hájek
Niels Hammer
author_sort Petr Henyš
title Mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix
title_short Mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix
title_full Mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix
title_fullStr Mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix
title_full_unstemmed Mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix
title_sort mechanical metric for skeletal biomechanics derived from spectral analysis of stiffness matrix
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/a65b99269c3744e69289eb0848483545
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