Symmetric normalization algorithm for estimating physiological strain in bones

doi:10.1016/j.euromechsol.2024.105539

Symmetric normalization algorithm for estimating physiological strain in bones

2025-05-01

0

PRE

AI

DOI：10.1016/j.euromechsol.2024.105539

Original

Original request for help

Save

Abstract

En 中文

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 foundation for future investigations across diverse bone structures and experimental settings.

Keywords:

Symmetric normalization

Digital volume correlation

Bone biomechanics

Micro-CT imaging

Strain analysis

Symmetric normalization algorithm for estimating physiological strain in bones

Abstract

Journal

Organization