Rapid CT-based Estimation of Articular Cartilage Biomechanics in the Knee Joint Without Cartilage Segmentation
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Annals of Biomedical Engineering (Ó 2020) https://doi.org/10.1007/s10439-020-02666-y
Original Article
Rapid CT-based Estimation of Articular Cartilage Biomechanics in the Knee Joint Without Cartilage Segmentation ALI MOHAMMADI ,1 KATARIINA A. H. MYLLER ,2,3 PETRI TANSKA,1 JUKKA HIRVASNIEMI,4 SIMO SAARAKKALA,5,6 JUHA TO¨YRA¨S,1,2,7 RAMI K. KORHONEN,1 and MIKA E. MONONEN1 1 Department of Applied Physics, University of Eastern Finland, POB 1627, 70211 Kuopio, Finland; 2Diagnostic Imaging Center, Kuopio University Hospital, Kuopio, Finland; 3Department of Medical Physics, Turku University Central Hospital, 20500 Turku, Finland; 4Department of Radiology & Nuclear Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands; 5Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Oulu, Finland; 6Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland; and 7School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
(Received 7 May 2020; accepted 17 October 2020) Associate Editor Estefanı´ a Pen˜a oversaw the review of this article.
Abstract—Knee osteoarthritis (OA) is a painful joint disease, causing disabilities in daily activities. However, there is no known cure for OA, and the best treatment strategy might be prevention. Finite element (FE) modeling has demonstrated potential for evaluating personalized risks for the progression of OA. Current FE modeling approaches use primarily magnetic resonance imaging (MRI) to construct personalized knee joint models. However, MRI is expensive and has lower resolution than computed tomography (CT). In this study, we extend a previously presented atlas-based FE modeling framework for automatic model generation and simulation of knee joint tissue responses using contrast agent-free CT. In this method, based on certain anatomical dimensions measured from bone surfaces, an optimal template is selected and scaled to generate a personalized FE model. We compared the simulated tissue responses of the CT-based models with those of the MRI-based models. We show that the CT-based models are capable of producing similar tensile stresses, fibril strains, and fluid pressures of knee joint cartilage compared to those of the MRI-based models. This study provides a new methodology for the analysis of knee joint and cartilage mechanics based on measurement of bone dimensions from native CT scans. Keywords—Finite element (FE) modeling, Articular cartilage, Atlas-based modeling, Computed tomography, Magnetic resonance imaging, Osteoarthritis (OA).
Address correspondence to Ali Mohammadi, Department of Applied Physics, University of Eastern Finland, POB 1627, 70211 Kuopio, Finland. Electronic mail: ali.mohammadi@uef.fi; [email protected]
INTRODUCTION Osteoarthritis (OA) is the most common arthritic disease and is the leading cause of disability in the United States and other developed countries.31,48 Knee OA, which prevalence has doubled since the mid
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