Subject-specific musculoskeletal loading of the tibia: Computational load estimation

Area of Science:

• Biomechanics
• Computational modeling
• Medical imaging

Background:

• Subject-specific computer models are crucial for personalized treatment analysis.
• Finite element models require accurate subject-specific geometries and material properties.
• Determining subject-specific forces typically necessitates gait analysis and inverse dynamics simulations.

Purpose of the Study:

• To develop a novel methodology for determining subject-specific bone forces.
• To utilize computer tomography (CT) images, bone remodeling simulations, and artificial neural networks (ANNs).
• To validate the technique by comparing results with traditional gait analysis.

Main Methods:

• A methodology combining CT imaging, bone remodeling simulations, and ANNs was proposed.
• Subject-specific forces were quantified for five tibias using the novel technique.
• Results were compared against those obtained from conventional gait analysis.

Main Results:

• The novel technique reliably estimated vertical loads on subject-specific tibias.
• The dominant components of bone loading were accurately computed.
• Vertical load estimations showed good agreement with gait analysis results.

Conclusions:

• The proposed numerical technique shows significant potential for estimating primary forces in subject-specific bone.
• This method offers a promising alternative for analyzing the mechanical behavior of individual bones.
• Accurate force estimation can enhance personalized treatment strategies in orthopedics.