TY - GEN
T1 - Impact of Personalized Mass Distribution on the Spinal Load Predictions of Rigid and Flexible Thorax Models during Forward Flexion
AU - Abdullah, Muhammad
AU - Hulleck, Abdul Aziz Vaqar Ahmed
AU - Ignasiak, Dominika
AU - Liu, Tao
AU - Arjmand, Navid
AU - Khalaf, Kinda
AU - El-Rich, Marwan
N1 - Publisher Copyright:
Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.
PY - 2025/2/6
Y1 - 2025/2/6
N2 - Accurate modeling of musculoskeletal (MSK) dynamics tailored to individual patients is crucial for evaluating adult spinal deformities, especially in the thoracic region. This research explores the impact of personalized upper-body mass distribution on predictions of spinal loads using both rigid and flexible thorax models in neutral standing and forward flexion postures. Two MSK models were employed: a rigid thorax model with thoracic spinal discs treated as rigid joints, and a flexible thorax model with thoracic discs modeled as spherical joints allowing three degrees of freedom. These models incorporated constant percentage base (CPB) and body shape-based (BSB) mass distributions, resulting in four configurations: Rigid-CPB, Rigid-BSB, Flexible-CPB, and Flexible-BSB. In neutral standing, the root means square error (RMSE) averaged 16.96% BW in the anteroposterior direction and 24.79% BW in the proximodistal direction between the Rigid-CPB and Flexible-BSB models. These errors increased during forward flexion to 43.72% BW and 84.86% BW, respectively. In the mediolateral direction, RMSE was 6.69% BW during forward flexion and 0.02% BW during neutral standing. The normalized RMSE (nRMSE) averaged below 8.5% in both postures. This study underscores the effectiveness of the Flexible-BSB model in simulating intricate spinal deformities, offering valuable biomechanical insights. It emphasizes the critical role of personalized mass distribution and thoracic flexibility in improving the precision of MSK simulations for clinical applications.
AB - Accurate modeling of musculoskeletal (MSK) dynamics tailored to individual patients is crucial for evaluating adult spinal deformities, especially in the thoracic region. This research explores the impact of personalized upper-body mass distribution on predictions of spinal loads using both rigid and flexible thorax models in neutral standing and forward flexion postures. Two MSK models were employed: a rigid thorax model with thoracic spinal discs treated as rigid joints, and a flexible thorax model with thoracic discs modeled as spherical joints allowing three degrees of freedom. These models incorporated constant percentage base (CPB) and body shape-based (BSB) mass distributions, resulting in four configurations: Rigid-CPB, Rigid-BSB, Flexible-CPB, and Flexible-BSB. In neutral standing, the root means square error (RMSE) averaged 16.96% BW in the anteroposterior direction and 24.79% BW in the proximodistal direction between the Rigid-CPB and Flexible-BSB models. These errors increased during forward flexion to 43.72% BW and 84.86% BW, respectively. In the mediolateral direction, RMSE was 6.69% BW during forward flexion and 0.02% BW during neutral standing. The normalized RMSE (nRMSE) averaged below 8.5% in both postures. This study underscores the effectiveness of the Flexible-BSB model in simulating intricate spinal deformities, offering valuable biomechanical insights. It emphasizes the critical role of personalized mass distribution and thoracic flexibility in improving the precision of MSK simulations for clinical applications.
KW - Adult Spinal Deformities
KW - Biofidelic Musculoskeletal Modeling
KW - Thoraco-Lumbar and Lumbo-Pelvic Ratio
KW - Three-dimensional Motion Assessment
UR - https://www.scopus.com/pages/publications/85219195726
U2 - 10.1145/3707127.3707163
DO - 10.1145/3707127.3707163
M3 - Conference contribution
AN - SCOPUS:85219195726
T3 - ICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering
SP - 219
EP - 225
BT - ICBBE 2024 - Proceedings of 2024 11th International Conference on Biomedical and Bioinformatics Engineering
T2 - 11th International Conference on Biomedical and Bioinformatics Engineering, ICBBE 2024
Y2 - 8 November 2024 through 11 November 2024
ER -