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Image Based Model Development and Analysis of the Human Knee Joint

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Biomedical Imaging and Computational Modeling in Biomechanics

Part of the book series: Lecture Notes in Computational Vision and Biomechanics ((LNCVB,volume 4))

Abstract

Developments in medical imaging and finite element analysis techniques have made it possible to conduct personalized studies on patients. The field of medical implants is especially benefitting from these advancements, where patient specific geometries can be created and analyzed. The present work is focused on using image based techniques for construction of solid models of human knee joints for finite element analysis. Accurate 3D solid models of the human cadaveric knee joint are developed based on a sequence of high resolution MRI images obtained from a Siemens 7T machine. The approach involves identification of various components of the knee joint such as the femur, tibia, femoral and tibial cartilage, and menisci of the tibio-femoral knee joint; construction of a 3D model; smoothing the geometries; meshing of geometry; and then performing finite element analysis. The focus of the present work is on understanding the effect of menisci on the stress and strain distribution in the knee joint. Availability of such image based modeling and analysis methods would help in designing effective meniscal implants.

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Acknowledgments

Dr. Peter Walker, Miriam Chaudhary, and Sally Arno at the Laboratory for Minimally Invasive Surgery of the Department of Orthopedic Surgery, NYU Hospital for Joint Diseases are acknowledged for the help with specimen preparations and mechanical testing. The authors acknowledge Dr. Ravinder R. Regatte at NYU Langone Medical Center for the help with MRI imaging and technical discussions. Ansys Inc is thanked for providing reduced price academic research licenses. The authors acknowledge the NYU – NYU-Poly joint seed grant and the MAE department at NYU-Poly for the facilities and support provided.

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Authors and Affiliations

  1. Composite Materials and Mechanics Laboratory, Mechanical and Aerospace Engineering Department, Polytechnic Institute of New York University, Six MetroTech Center, Brooklyn, NY, 11201, USA

    Dennis John, Dinesh Pinisetty & Nikhil Gupta

  2. General Dynamics Electric Boat, 75 Eastern Point Road, Groton, CT, 06340, USA

    Dennis John

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  1. Dennis John
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  2. Dinesh Pinisetty
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  3. Nikhil Gupta
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Correspondence to Nikhil Gupta .

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Editors and Affiliations

  1. , Dept. of Structural & Geotechnical Eng., Sapienza University of Rome, Via Eudossiana 18, Rome, 00184, Italy

    Ugo Andreaus

  2. , Dept of Computer and System Sciences, Sapienza University of Rome, Via Arosto 25, Rome, 00185, Italy

    Daniela Iacoviello

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John, D., Pinisetty, D., Gupta, N. (2013). Image Based Model Development and Analysis of the Human Knee Joint. In: Andreaus, U., Iacoviello, D. (eds) Biomedical Imaging and Computational Modeling in Biomechanics. Lecture Notes in Computational Vision and Biomechanics, vol 4. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4270-3_4

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  • DOI: https://doi.org/10.1007/978-94-007-4270-3_4

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-4269-7

  • Online ISBN: 978-94-007-4270-3

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