Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Bone Load Estimation for the Proximal Femur Using Single Energy Quantitative CT Data.

KENNETH J. Fischer1, CHRISTOPHER R. Jacobs, MARC E. Levenston

  • 1Division of Radiologic Physics and Engineering, Department of Diagnostic Radiology, Henry Ford Hospital, Detroit, MI 48202, U.S.A.

Computer Methods in Biomechanics and Biomedical Engineering
|March 27, 2001
PubMed
Summary

This study used a density-based method to estimate femoral load patterns, finding results consistent with gait data and suggesting new insights into bone structure maintenance. The technique accurately predicted bone density distributions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Loading Mode Interactions in Simulations of Long Bone Cross-Sectional Adaptation.

Computer methods in biomechanics and biomedical engineering·2001
Same author

Proximal Femoral Density Patterns are Consistent with Bicentric Joint Loads.

Computer methods in biomechanics and biomedical engineering·2001
Same author

Analysis of Time-Varying Biological Data Using Rainflow Cycle Counting.

Computer methods in biomechanics and biomedical engineering·2001
See all related articles

Area of Science:

  • Biomechanics
  • Orthopedic Research
  • Computational Modeling

Background:

  • Understanding bone loading patterns is crucial for diagnosing and treating skeletal diseases.
  • Current methods for estimating bone loads have limitations.

Purpose of the Study:

  • To develop and validate a density-based load estimation method for determining femoral load patterns.
  • To assess the accuracy of this method in predicting bone density distributions.

Main Methods:

  • Constructed 2D finite element models from quantitative computed tomography (QCT) data.
  • Applied an optimization procedure to adjust basic load cases (joint loads and greater trochanter tractions).
  • Performed remodeling simulations using estimated loads to predict bone density.

Related Experiment Videos

Main Results:

  • Estimated femoral load directions aligned with published experimental gait data.
  • Identified potential importance of extreme joint orientation loads for bone structure.
  • Remodeling simulations yielded density distributions qualitatively similar to QCT data.
  • Achieved low average nodal density errors (0.24 and 0.28 g/cm³).

Conclusions:

  • Density-based load estimation is a viable method for determining femoral loading.
  • This approach can improve the understanding of bone loading patterns and their role in bone structure maintenance.
  • The method shows promise for clinical applications in orthopedics.