Mohammadi, A., Myller, K.A.H., Tanska, P. et al. Rapid CT-based Estimation of Articular Cartilage Biomechanics in the Knee Joint Without Cartilage Segmentation. Ann Biomed Eng 48, 2965–2975 (2020). https://doi.org/10.1007/s10439-020-02666-y
Rapid CT-based estimation of Aárticular cartilage biomechanics in the knee joint without cartilage segmentation
|Author:||Mohammadi, Ali1; Myller, Katariina A. H.2,3; Tanska, Petri1;|
1Department 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
7School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia
|Online Access:||PDF Full Text (PDF, 3 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202103107026
|Publish Date:|| 2021-03-10
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.
Annals of biomedical engineering
|Pages:||2965 - 2975|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
3126 Surgery, anesthesiology, intensive care, radiology
Open access funding provided by University of Eastern Finland (UEF) including Kuopio University Hospital. Statistician Santtu Mikkonen, Ph.D., is acknowledged for the statistical consultation. Financial support from the University of Eastern Finland’s Doctoral Programme in Science, Technology and Computing (SCITECO), Academy of Finland (Grants 324994, 328920, 324529, 307932), Business Finland (Grant 3455/31/2019), Sigrid Juselius foundation, the Research Committee of the Kuopio University Hospital Catchment Area for the State Research Funding (Project 5041757), are acknowledged. CSC-IT Center for Science, Finland, is acknowledged for providing the FE modeling software.
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