Automated hexahedral meshing of knee cartilage structures – application to data from the osteoarthritis initiative

Rodríguez Vila, Borja and Sánchez González, Patricia and Oropesa García, Ignacio and Gómez Aguilera, Enrique J. and Pierce, David M. (2017). Automated hexahedral meshing of knee cartilage structures – application to data from the osteoarthritis initiative. "Computer Methods in Biomechanics and Biomedical Engineering", v. 20 (n. 14); pp. 1543-1553. ISSN 1025-5842. https://doi.org/10.1080/10255842.2017.1383984.

Description

Title: Automated hexahedral meshing of knee cartilage structures – application to data from the osteoarthritis initiative
Author/s:
  • Rodríguez Vila, Borja
  • Sánchez González, Patricia
  • Oropesa García, Ignacio
  • Gómez Aguilera, Enrique J.
  • Pierce, David M.
Item Type: Article
Título de Revista/Publicación: Computer Methods in Biomechanics and Biomedical Engineering
Date: 2017
ISSN: 1025-5842
Volume: 20
Subjects:
Freetext Keywords: Cartilage; meniscus; knee joint; osteoarthritis; magnetic resonance imaging; finite element analysis; hexahedral mesh
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

We propose a fully automated methodology for hexahedral meshing of patient-specific structures of the human knee obtained from magnetic resonance images, i.e. femoral/tibial cartilages and menisci. We select eight patients from the Osteoarthritis Initiative and validate our methodology using MATLAB on a laptop computer. We obtain the patient-specific meshes in an average of three minutes,while faithfully representing the geometries with well-shaped elements.We hope to provide a fundamentally different means to test hypotheses on the mechanisms of disease progression by integrating our patient-specific FE meshes with data from individual patients. Download both our meshes and software at

More information

Item ID: 49771
DC Identifier: http://oa.upm.es/49771/
OAI Identifier: oai:oa.upm.es:49771
DOI: 10.1080/10255842.2017.1383984
Official URL: https://www.tandfonline.com/doi/full/10.1080/10255842.2017.1383984
Deposited by: Memoria Investigacion
Deposited on: 20 Mar 2018 19:06
Last Modified: 01 Nov 2018 23:30
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