Image-based musculoskeletal modeling: applications, advances, and future opportunities

Area of Science:

• Biomechanics and Biomedical Engineering
• Medical Imaging and Computational Modeling

Background:

• Computer models of the musculoskeletal system are vital for understanding disorders and simulating surgical interventions.
• Historically, these models relied on cadaveric data, limiting their application to living subjects.
• Magnetic Resonance Imaging (MRI) presents new opportunities for data acquisition from living individuals.

Purpose of the Study:

• To highlight the impact of advanced MRI techniques on creating accurate, individualized musculoskeletal models.
• To discuss how MRI advancements are driving progress in musculoskeletal modeling for clinical applications.

Main Methods:

• Utilizing novel MRI methods for data acquisition in living subjects.
• Applying advanced MRI techniques such as static, dynamic, and diffusion imaging.
• Focusing on MRI pulse-sequence and coil design for enhanced musculoskeletal imaging.

Main Results:

• MRI techniques enable detailed imaging of musculoskeletal anatomy, muscle architecture, and joint motions.
• These methods facilitate the measurement of muscle moment arms and tissue deformations in vivo.
• Advances allow for the creation of individualized musculoskeletal models based on living subject data.

Conclusions:

• Advanced MRI techniques are revolutionizing musculoskeletal modeling by enabling the creation of accurate, individualized models from living subjects.
• These image-based models will improve the study of musculoskeletal and neuromuscular impairments.
• Further development in MRI will expand the utility of computational models in clinical research and practice.