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Related Concept Videos

The Bone Matrix01:18

The Bone Matrix

Bone contains a relatively small number of cells entrenched in a matrix of collagen fibers that provide an adherent surface for inorganic salt crystals. Both components of the matrix, organic and inorganic, contribute to the unusual properties of bone. Without collagen, bones would be brittle and shatter easily. Without mineral crystals, bones would flex and provide little support. This can be observed by an experiment: when the minerals of a bone are dissolved by soaking the bone in acid or...

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Related Experiment Video

Updated: Jun 14, 2026

Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion
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Subject-specific Musculoskeletal Model for Studying Bone Strain During Dynamic Motion

Published on: April 11, 2018

Can proton density-weighted MRI-based finite element models predict bone strength?

Benjamin D Olowu1, Joshua D Auger1, Elise F Morgan2

  • 1Boston University, Department of Mechanical Engineering, 110 Cummington Mall, Boston, 02215, MA, USA; Center for Multiscale and Translational Mechanobiology, Boston University, 44 Cummington St, Boston, 02215, MA, USA.

Bone
|June 12, 2026
PubMed
Summary
This summary is machine-generated.

Proton density-weighted MRI can capture femoral geometry for finite element (FE) models, but current methods fail to accurately predict hip fracture strength. Further research is needed to establish material mapping for improved MRI-based FE analysis.

Keywords:
BiomechanicsBoneComputed tomography imagingDigital image correlationFemurFinite element modelingHip fractureMagnetic resonance imaging

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Last Updated: Jun 14, 2026

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Proximal Cadaveric Femur Preparation for Fracture Strength Testing and Quantitative CT-based Finite Element Analysis
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Proximal Cadaveric Femur Preparation for Fracture Strength Testing and Quantitative CT-based Finite Element Analysis

Published on: March 11, 2017

Area of Science:

  • Biomedical Engineering
  • Radiology
  • Orthopedics

Background:

  • Hip fractures pose a significant clinical challenge, with patient-specific finite element (FE) modeling of the proximal femur increasingly used for bone strength and fracture risk assessment.
  • Computed tomography (CT) is commonly used for FE modeling but involves significant radiation exposure, limiting its widespread clinical application.
  • Magnetic resonance imaging (MRI) offers a radiation-free alternative for FE modeling, potentially expanding its clinical utility.

Purpose of the Study:

  • To evaluate the predictive accuracy of proton density (PD)-weighted MRI-based FE models of the proximal femur for assessing fracture risk under sideways fall conditions.
  • To compare the performance of MRI-based FE models against CT-based models and experimental mechanical testing data.

Main Methods:

  • Patient-specific FE models were constructed from both MRI (n=10) and CT (n=14) scans of cadaveric femora.
  • Mechanical testing was performed to determine experimental stiffness and failure load, with digital image correlation (DIC) used to measure full-field strain distributions.
  • Existing relationships between image voxel intensity and tissue modulus were applied, with MRI models using a BV/TV-modulus equation from a prior T2-weighted MRI-FE study.

Main Results:

  • MRI-based FE models demonstrated poor agreement with experimentally measured stiffness and failure load, as well as with paired CT-based FE predictions.
  • When homogeneous material properties were applied, no significant differences in predicted stiffness and failure load were observed between MRI and CT models.
  • Both MRI- and CT-based FE models qualitatively replicated the experimentally measured principal strain patterns, indicating accurate geometric representation by PD-weighted MRI.

Conclusions:

  • Proton density-weighted MRI effectively captures the geometry of the proximal femur for FE modeling.
  • The current material mapping relationship used for PD-weighted MRI-based FE models is inadequate for accurately predicting bone strength and fracture risk.
  • Future research should focus on establishing appropriate relationships between PD-weighted MRI signal values and bone modulus or density to enhance MRI-based FE analysis for hip fracture assessment.