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Improvements to mechanical response tissue analysis
Cortical Bone Mechanics Technology™ (CBMT) comprises certain improvements over a previous method known as Mechanical Response Tissue Analysis (MRTA). Both methods are dynamic 3-point bending tests intended for measuring the mechanical properties of cortical bone in living people. MRTA presented a th...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820268/ https://www.ncbi.nlm.nih.gov/pubmed/31687360 http://dx.doi.org/10.1016/j.mex.2019.10.004 |
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author | Bowman, Lyn Loucks, Anne B. |
author_facet | Bowman, Lyn Loucks, Anne B. |
author_sort | Bowman, Lyn |
collection | PubMed |
description | Cortical Bone Mechanics Technology™ (CBMT) comprises certain improvements over a previous method known as Mechanical Response Tissue Analysis (MRTA). Both methods are dynamic 3-point bending tests intended for measuring the mechanical properties of cortical bone in living people. MRTA presented a theoretical potential for direct measurement of skeletal fragility, but it had acquired a reputation for error and fallen into disuse. We found sources of error in both MRTA data collection and data analysis. We describe here the fundamentals of MRTA, the major sources of error we found in MRTA, and our innovations for avoiding them. • Data collection at many sites across the mid-shaft of the ulna bone in the forearm. • Parameter estimation by fitting analytical complex compliance and stiffness transfer functions to empirical complex compliance and stiffness frequency response functions. • Optimization by selecting results from frequency response functions with the smallest deviations between fits to compliance and stiffness frequency response functions. |
format | Online Article Text |
id | pubmed-6820268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-68202682019-11-04 Improvements to mechanical response tissue analysis Bowman, Lyn Loucks, Anne B. MethodsX Engineering Cortical Bone Mechanics Technology™ (CBMT) comprises certain improvements over a previous method known as Mechanical Response Tissue Analysis (MRTA). Both methods are dynamic 3-point bending tests intended for measuring the mechanical properties of cortical bone in living people. MRTA presented a theoretical potential for direct measurement of skeletal fragility, but it had acquired a reputation for error and fallen into disuse. We found sources of error in both MRTA data collection and data analysis. We describe here the fundamentals of MRTA, the major sources of error we found in MRTA, and our innovations for avoiding them. • Data collection at many sites across the mid-shaft of the ulna bone in the forearm. • Parameter estimation by fitting analytical complex compliance and stiffness transfer functions to empirical complex compliance and stiffness frequency response functions. • Optimization by selecting results from frequency response functions with the smallest deviations between fits to compliance and stiffness frequency response functions. Elsevier 2019-10-14 /pmc/articles/PMC6820268/ /pubmed/31687360 http://dx.doi.org/10.1016/j.mex.2019.10.004 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Engineering Bowman, Lyn Loucks, Anne B. Improvements to mechanical response tissue analysis |
title | Improvements to mechanical response tissue analysis |
title_full | Improvements to mechanical response tissue analysis |
title_fullStr | Improvements to mechanical response tissue analysis |
title_full_unstemmed | Improvements to mechanical response tissue analysis |
title_short | Improvements to mechanical response tissue analysis |
title_sort | improvements to mechanical response tissue analysis |
topic | Engineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820268/ https://www.ncbi.nlm.nih.gov/pubmed/31687360 http://dx.doi.org/10.1016/j.mex.2019.10.004 |
work_keys_str_mv | AT bowmanlyn improvementstomechanicalresponsetissueanalysis AT loucksanneb improvementstomechanicalresponsetissueanalysis |