Symmetric normalization algorithm for estimating physiological strain in bones

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F24%3A00012718" target="_blank" >RIV/46747885:24220/24:00012718 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S099775382400319X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S099775382400319X?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.euromechsol.2024.105539" target="_blank" >10.1016/j.euromechsol.2024.105539</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Symmetric normalization algorithm for estimating physiological strain in bones

Popis výsledku v původním jazyce

This study evaluates the accuracy of the Symmetric Normalization (SyN) algorithm in estimating physiological bone deformations using digital volume correlation (DVC), comparing it to the well-established BoneDVC algorithm commonly employed in bone biomechanics. Using high-resolution micro-CT images of the proximal femur and synthetic deformation models, we assessed the precision and robustness of each algorithm. Findings indicate that SyN produces comparable error levels to BoneDVC, with reduced sensitivity to noise and sampling rates. In contrast, BoneDVC’s accuracy is more dependent on nodal spacing configuration, which impacts deformation estimates. These results suggest that SyN, with its efficient noise handling and computational advantages, may serve as a viable alternative for bone deformation analysis in DVC experiments. This study contributes novel insights into the application of SyN-based algorithms in biomechanical research, offering a foundation for future investigations across diverse bone structures and experimental settings.

Název v anglickém jazyce

Symmetric normalization algorithm for estimating physiological strain in bones

Popis výsledku anglicky

This study evaluates the accuracy of the Symmetric Normalization (SyN) algorithm in estimating physiological bone deformations using digital volume correlation (DVC), comparing it to the well-established BoneDVC algorithm commonly employed in bone biomechanics. Using high-resolution micro-CT images of the proximal femur and synthetic deformation models, we assessed the precision and robustness of each algorithm. Findings indicate that SyN produces comparable error levels to BoneDVC, with reduced sensitivity to noise and sampling rates. In contrast, BoneDVC’s accuracy is more dependent on nodal spacing configuration, which impacts deformation estimates. These results suggest that SyN, with its efficient noise handling and computational advantages, may serve as a viable alternative for bone deformation analysis in DVC experiments. This study contributes novel insights into the application of SyN-based algorithms in biomechanical research, offering a foundation for future investigations across diverse bone structures and experimental settings.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20302 - Applied mechanics

Projekt

<a href="/cs/project/GA24-10862S" target="_blank" >GA24-10862S: Datově poháněné modelování morfologie a minerální hustoty kosti</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

European Journal of Mechanics-A/Solids

ISSN

0997-7538

e-ISSN

—

Svazek periodika

111

Číslo periodika v rámci svazku

MAY-JUN

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

18

Strana od-do

—

Kód UT WoS článku

001394342400001

EID výsledku v databázi Scopus

2-s2.0-85212861528