Femoral Bone Strength Prediction Using Isotopological B-Spline-Transformed Meshes

Lukas Steiner, Alexander Synek, Dieter H. Pahr

Research output: Journal article (peer-reviewed)Journal article

Abstract

Finite element (FE) analysis can predict proximal human femoral strength. Automated meshing and identifying subregions with high relevance for strength prediction could reduce the laborious modeling process. Mesh morphing based on free-form registration provides a high level of automation and inherently creates isotopological meshes. The goals of this study were to investigate if FE models based on free-form transformed meshes predict experimental femoral strength as well as manually created FE models and to identify regions and parameters with highest correlation to femoral strength. Subject-specific meshes and FE models were created from a set of quantitative CT images (QCT) using a B-Spline registration-based algorithm. Correlation of FE-predicted bone strength and local parameters with experimental bone strength were investigated. FE models based on transformed meshes closely resembled manually created counterparts, with equally strong correlations with experimental bone strength (R2=0.81 vs. R2=0.80). The regional analysis showed strong correlations (0.6
Original languageEnglish
Pages (from-to)125-137
JournalBiomechanics
Volume2
Issue number1
DOIs
Publication statusPublished - 2022

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