Validation of a Finite Element Simulation for Predicting Individual Knee Joint Kinematics.

Autor:	Theilen E; Fraunhofer Institute for Digital Medicine MEVIS 28359 Bremen Germany., Rorich A; Fraunhofer Institute for Digital Medicine MEVIS 28359 Bremen Germany., Lange T; Division of Medical Physics, Department of Diagnostic and Interventional Radiology, Medical Center - University of Freiburg, Faculty of MedicineUniversity of Freiburg 79104 Freiburg Germany., Bendak S; Department of Orthopedic Surgery and Traumatology, Freiburg University HospitalAlbert-Ludwigs-University Freiburg 79106 Freiburg Germany., Huber C; Stryker Leibinger GmbH & Co. KG 79111 Freiburg im Breisgau Germany., Schmal H; Department of Orthopedic Surgery and Traumatology, Freiburg University HospitalAlbert-Ludwigs-University Freiburg 79106 Freiburg Germany., Izadpanah K; Department of Orthopedic Surgery and Traumatology, Freiburg University HospitalAlbert-Ludwigs-University Freiburg 79106 Freiburg Germany., Georgii J; Fraunhofer Institute for Digital Medicine MEVIS 28359 Bremen Germany.
Jazyk:	angličtina
Zdroj:	IEEE open journal of engineering in medicine and biology [IEEE Open J Eng Med Biol] 2023 Mar 16; Vol. 5, pp. 125-132. Date of Electronic Publication: 2023 Mar 16 (Print Publication: 2024).
DOI:	10.1109/OJEMB.2023.3258362
Abstrakt:	Goal: We introduce an in-vivo validated finite element (FE) simulation approach for predicting individual knee joint kinematics. Our vision is to improve clinicians' understanding of the complex individual anatomy and potential pathologies to improve treatment and restore physiological joint kinematics. Methods: Our 3D FE modeling approach for individual human knee joints is based on segmentation of anatomical structures extracted from routine static magnetic resonance (MR) images. We validate the predictive abilities of our model using static MR images of the knees of eleven healthy volunteers in dedicated knee poses, which are achieved using a customized MR-compatible pneumatic loading device. Results: Our FE simulations reach an average translational accuracy of 2 mm and an average angular accuracy of 1[Formula: see text] compared to the reference knee pose. Conclusions: Reaching high accuracy, our individual FE model can be used in the decision-making process to restore knee joint stability and functionality after various knee injuries. (© 2023 The Authors.)
Databáze:	MEDLINE
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