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research-article

Development and evaluation of a subject-specific lower limb model with an 11 DOF natural knee model using MRI and EOS during a quasi-static lunge

[+] Author and Article Information
David Leandro Dejtiar

Department of Materials and Production, Aalborg University, Fibigestræde 16, DK-9220 Aalborg, Denmark
dld@mp.aau.dk

Christine Mary Dzialo

Department of Materials and Production, Aalborg University, Fibigestræde 16, DK-9220 Aalborg, Denmark; Anybody Technology A/S, Niels Jernes Vej 10, DK-9220 Aalborg, Denmark
cmd@anybodytech.com

Peter Heide Pedersen

Department of Orthopedic Surgery, Aalborg University Hospital, Hobrovej 18-22, DK-9000 Aalborg, Denmark
php@rn.dk

Kenneth Krogh Jensen

Department of Radiology, Aalborg University Hospital, Hobrovej 18-22, DK-9000 Aalborg, Denmark
kekj@rn.dk

Martin Fleron

Department of Health Science and Technology, Aalborg University, Frederik Bajers Vej 7, DK-9220 Aalborg, Denmark
martinfleron@gmail.com

Michael S. Andersen

Department of Materials and Production, Aalborg University, Fibigestræde 16, DK-9220 Aalborg, Denmark
msa@mp.aau.dk

1Corresponding author.

ASME doi:10.1115/1.4044245 History: Received January 15, 2019; Revised July 04, 2019

Abstract

Musculoskeletal models can be used to study the muscle, ligament, and joint mechanics of natural knees. However, models that both capture subject-specific geometry and contain a detailed joint model do not currently exist. This study aims to first develop magnetic resonance image (MRI)-based subject-specific models with a detailed natural knee joint capable of simultaneously estimating in vivo ligament, muscle, tibiofemoral (TF), and patellofemoral (PF) joint contact forces and secondary joint kinematics. Then, to evaluate the predicted secondary joint kinematics using in vivo joint kinematics extracted from biplanar X-ray images (acquired using slot scanning technology) during a quasi-static lunge. To construct the models, bone, ligament, and cartilage structures were segmented from MRI scans of four subjects. The models were then used to simulate lunges based on motion capture and force place data. Accurate estimates of TF secondary joint kinematics and PF translations were found: translations were predicted with a mean difference (MD) and standard error (SE) of 2.13±0.22 mm between all trials and measures while rotations had a MD±SE of 8.57±0.63o. Ligament and contact forces were also reported. The presented modeling workflow and resulting knee joint model have potential to aid in the understanding of subject-specific biomechanics and simulating the effects of surgical treatment and or external devices on functional knee mechanics on an individual level.

Copyright (c) 2019 by ASME
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