Subject specific motion dynamic simulation from measured bone and soft tissue data

Physically based prediction of joint and muscle force distribution using multibody mechanics and numerical methods of mixed dynamics requests accurate adjustment of the model parameters defined in reproducible coordinate system (CS) using strict definition of anatomical landmarks (ALs). This research focuses on development of customizable dynamical model of human passive motions, based on accurate 3D bones and soft tissue reconstruction, medical imaging data (CT, MRI) and stereophotogrammetry by digital cameras during subject dissection. Customizable dynamical models were imported as bone surfaces and soft tissue attachment data of one subject's right leg in MSC ADAMS software. Currently the model includes hip joint, femoro-tibial joint, femoro-patellar joint and ankle joint. Joints are simulated by full impact contacts and constrained by corresponding ligaments. Passive motion simulation were obtained by constraining the model with cylindrical and hinge joints connected to iliac and metatarsus respectively. Impact contact between calcaneus and floor was also implemented.

This image shows muscle data information reconstructed from dissection activities and fused to medical imaging (right).

Such anatomically correct data allows reliable model customization for simulation purposes (left).

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