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An Improved Head-Neck Musculoskeletal Model Incorporating Cervical Spine Rhythms Measured by Dynamic Radiography In
Yu Zhou1, Curran Reddy2, Wei Yin1,3
1Department of Industrial and Systems Engineering, Texas A&M University, 3131 TAMU, College Station, TX, 77843-3131, USA.
Annals of Biomedical Engineering
|January 12, 2026
Summary
This study introduces an improved head-neck musculoskeletal model using in vivo dynamic stereo-radiography data, enhancing cervical spine movement accuracy. The new model significantly reduces errors in joint rotation predictions compared to previous methods.
Area of Science:
- Biomechanics
- Musculoskeletal Modeling
- Spine Kinematics
Background:
- Musculoskeletal models of the head and neck often rely on in vitro data for kinematic constraints.
- The accuracy of these models is limited as in vitro relationships may not reflect in vivo cervical spine motion.
- Previous models face challenges in accurately representing the complex, redundant movements of the cervical intervertebral joints.
Purpose of the Study:
- To develop and validate a novel head-neck musculoskeletal model incorporating in vivo cervical spine rhythms.
- To improve the accuracy of simulating head and neck movements by using dynamic stereo-radiography (DSX) data.
- To address the limitations of existing models that use questionable in vitro kinematic relationships.
Main Methods:
- Utilized dynamic stereo-radiography (DSX) and surface-based motion capture data from 14 subjects performing neck movements.
- Constructed a new OpenSim head-neck model driven by surface marker data, incorporating DSX-derived rhythmic relationships.
- Compared the new model against the latest OpenSim head-neck model (HYOID model) as a benchmark.
Main Results:
- Cervical spine rhythms (rotational relationships between joints) were found to be segment- and position-variant.
- The new model demonstrated a significant improvement in accuracy, reducing overall root-mean-square-error (RMSE) from 5.1° to 2.2° across six joints compared to DSX measurements.
- Most substantial improvement was observed at the C1-C2 joint, with RMSE decreasing from 17.3° to 2.1°.
Conclusions:
- The study provides a quantitative understanding of coordinated cervical spine motion.
- An improved head-neck musculoskeletal model has been developed, offering greater accuracy for OpenSim and other applications.
- The findings highlight the importance of in vivo data for refining musculoskeletal models of the spine.
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