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

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

Published on: April 11, 2018

Multiscale musculoskeletal modelling, data-model fusion and electromyography-informed modelling.

J Fernandez¹, J Zhang², T Heidlauf³

¹Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand; Department of Engineering Science, University of Auckland, Auckland, New Zealand.

Interface Focus

|April 7, 2016

Summary

This study introduces advanced musculoskeletal modeling techniques, integrating bone and muscle mechanics with population-based data for clinical applications. Open-source tools will enable personalized virtual physiological human models.

Keywords:

model fusion multiscale modelling musculoskeletal musculoskeletal database

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Area of Science:

Biomechanics
Computational Biology
Medical Imaging

Background:

Current musculoskeletal models lack integration across scales.
Efficient data storage and retrieval for complex biological systems is challenging.
Personalized modeling requires rapid generation of individual morphology.

Purpose of the Study:

To advance state-of-the-art musculoskeletal modeling across spatial and temporal scales.
To develop efficient ontologies and tools for storing and utilizing musculoskeletal models.
To propose a framework for a clinically relevant virtual physiological human.

Main Methods:

Population-based modeling for rapid individual morphology generation.
Multiscale methods for continuum muscle and bone models.
Mechanostatistical methods (continuum and particle-based) to bridge scales.
Electromyography-assisted modeling for muscle force prediction.

Main Results:

Demonstrated population-based modeling for efficient morphology generation from limited data.
Presented multiscale and mechanostatistical methods for integrated bone and muscle modeling.
Highlighted the role of muscle in bone remodeling and advanced force prediction techniques.

Conclusions:

Integrating bone and muscle mechanics is crucial for a clinically relevant virtual physiological human.
Population-trained models facilitate rapid generation and capture principal modes of muscle and morphology.
Open-source repositories are essential for community use, personalization, and contribution to musculoskeletal models.