Literature DB >> 18675422

Patient-specific knee joint finite element model validation with high-accuracy kinematics from biplane dynamic Roentgen stereogrammetric analysis.

G Papaioannou1, G Nianios, C Mitrogiannis, D Fyhrie, S Tashman, K H Yang.   

Abstract

Little is known about in vivo menisci loads and displacements in the knee during strenuous activities. A new method that combines high-speed kinematics measured with biplane dynamic Roentgen stereogrammetric analysis (DRSA) and a subject-specific finite element (FE) model for studying in vivo meniscal behavior is presented here. Further model calibration in a very controlled uniaxial low and high-rate compression loading condition is presented by comparing the model behavior against the measured high-accuracy menisci DRSA kinematics and direct tibio-femoral pressure measurement from a K-scan sensor. It is apparent that certain model aspects such as removing of the pressure sensor from the model can result in relatively large errors (14%) in contact parameters that are not reflected in the change of the measured meniscal kinematics. Changing mesh size to 1mm by 1mm elements increased the magnitude of all but one of the contact variables by up to 45%. This local validation using accurate localized patient-specific geometry and meniscal kinematics was needed to enhance model fidelity at the level of contact between menisci and cartilage.

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Year:  2008        PMID: 18675422     DOI: 10.1016/j.jbiomech.2008.06.027

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  17 in total

1.  FEATURE-BASED MULTIBLOCK FINITE ELEMENT MESH GENERATION.

Authors:  Kiran H Shivanna; Srinivas C Tadepalli; Nicole M Grosland
Journal:  Comput Aided Des       Date:  2010-12-01       Impact factor: 3.027

2.  Predicted loading on the menisci during gait: The effect of horn laxity.

Authors:  Trent M Guess; Swithin Razu; Hamidreza Jahandar; Antonis Stylianou
Journal:  J Biomech       Date:  2015-03-14       Impact factor: 2.712

Review 3.  Subject-specific analysis of joint contact mechanics: application to the study of osteoarthritis and surgical planning.

Authors:  Corinne R Henak; Andrew E Anderson; Jeffrey A Weiss
Journal:  J Biomech Eng       Date:  2013-02       Impact factor: 2.097

4.  Subject-specific finite element modeling of the tibiofemoral joint based on CT, magnetic resonance imaging and dynamic stereo-radiography data in vivo.

Authors:  Robert E Carey; Liying Zheng; Ameet K Aiyangar; Christopher D Harner; Xudong Zhang
Journal:  J Biomech Eng       Date:  2014-04       Impact factor: 2.097

5.  Computational wear simulation of patellofemoral articular cartilage during in vitro testing.

Authors:  Lingmin Li; Shantanu Patil; Nick Steklov; Won Bae; Michele Temple-Wong; Darryl D D'Lima; Robert L Sah; Benjamin J Fregly
Journal:  J Biomech       Date:  2011-03-30       Impact factor: 2.712

6.  Statistical shape modeling predicts patellar bone geometry to enable stereo-radiographic kinematic tracking.

Authors:  Lowell M Smoger; Kevin B Shelburne; Adam J Cyr; Paul J Rullkoetter; Peter J Laz
Journal:  J Biomech       Date:  2017-05-17       Impact factor: 2.712

7.  Validation of radiocarpal joint contact models based on images from a clinical MRI scanner.

Authors:  Joshua E Johnson; Terence E McIff; Phil Lee; E Bruce Toby; Kenneth J Fischer
Journal:  Comput Methods Biomech Biomed Engin       Date:  2012-05-25       Impact factor: 1.763

8.  Biphasic finite element contact analysis of the knee joint using an augmented Lagrangian method.

Authors:  Hongqiang Guo; Suzanne A Maher; Robert L Spilker
Journal:  Med Eng Phys       Date:  2013-03-15       Impact factor: 2.242

9.  A statistically-augmented computational platform for evaluating meniscal function.

Authors:  Hongqiang Guo; Thomas J Santner; Tony Chen; Hongsheng Wang; Caroline Brial; Susannah L Gilbert; Matthew F Koff; Amy L Lerner; Suzanne A Maher
Journal:  J Biomech       Date:  2015-02-26       Impact factor: 2.712

10.  Experimental validation of a tibiofemoral model for analyzing joint force distribution.

Authors:  Emily J Miller; Rose F Riemer; Tammy L Haut Donahue; Kenton R Kaufman
Journal:  J Biomech       Date:  2009-04-22       Impact factor: 2.712

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