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Muscle parameters estimation based on biplanar radiography.

G Dubois1, P Rouch1, D Bonneau1

  • 1a LBM/Institut de Biomecanique Humaine Georges Charpark , Arts et Metiers ParisTech , Paris , France .

Computer Methods in Biomechanics and Biomedical Engineering
|April 16, 2016
PubMed
Summary
This summary is machine-generated.

Creating subject-specific musculoskeletal models for in vivo force analysis is challenging. This new biplanar X-ray method quickly estimates muscle lines of action and moment arms for improved gait analysis.

Keywords:
Stereoradiographygait analysislower limbmuscle

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Area of Science:

  • Biomechanics
  • Medical Imaging
  • Computational Modeling

Background:

  • Accurate in vivo muscle and joint force evaluation is crucial for movement analysis.
  • Current musculoskeletal (musculo-skeletal) models lack personalization, using either scaled-generic data or MRI in static positions.
  • A need exists for rapid, subject-specific musculoskeletal modeling.

Purpose of the Study:

  • To develop and validate a novel, rapid method for creating subject-specific musculo-skeletal models using only biplanar X-rays.
  • To assess the accuracy of muscle geometry, line of action, and moment arm estimation.
  • To compare the performance of the new method against scaled-generic models.

Main Methods:

  • A two-step process was employed, starting with 3D bone and skin envelope reconstruction from biplanar X-rays.
  • A reference model was non-linearly transformed using 2200 control points to fit the subject's X-ray geometry.
  • The shape of 21 lower limb muscles was adapted to the subject-specific X-ray model.

Main Results:

  • While muscle volume estimation showed high variability (SD 10-68%), muscle line of action was accurately estimated (SD < 2% length difference, < 20mm positioning error).
  • Moment arm estimation was accurate (SD < 15% for most muscles).
  • The method significantly outperformed scaled-generic models for most muscle parameters.

Conclusions:

  • This biplanar X-ray based method provides a rapid (30 min) approach to subject-specific musculo-skeletal modeling.
  • It offers accurate estimation of muscle lines of action and moment arms, crucial for gait analysis.
  • This technique facilitates personalized biomechanical analysis for clinical applications.