Rapid X-Ray-Based 3-D Finite Element Modeling of Medial Knee Joint Cartilage Biomechanics During Walking

  • Sana Jahangir*
  • , Ali Mohammadi
  • , Mika E. Mononen
  • , Jukka Hirvasniemi
  • , Juha Sampo Suomalainen
  • , Simo Saarakkala
  • , Rami K. Korhonen
  • , Petri Tanska
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

10 Citations (Scopus)
25 Downloads (Pure)

Abstract

Finite element (FE) modeling is becoming an increasingly popular method for analyzing knee joint mechanics and biomechanical mechanisms leading to osteoarthritis (OA). The most common and widely available imaging method for knee OA diagnostics is planar X-ray imaging, while more sophisticated imaging methods, e.g., magnetic resonance imaging (MRI) and computed tomography (CT), are seldom used. Hence, the capability to produce accurate biomechanical knee joint models directly from X-ray imaging would bring FE modeling closer to clinical use. Here, we extend our atlas-based framework by generating FE knee models from X-ray images (N = 28). Based on measured anatomical landmarks from X-ray and MRI, knee joint templates were selected from the atlas library. The cartilage stresses and strains of the X-ray-based model were then compared with the MRI-based model during the stance phase of the gait. The biomechanical responses were statistically not different between MRI- vs. X-ray-based models when the template obtained from X-ray imaging was the same as the MRI template. However, if this was not the case, the peak values of biomechanical responses were statistically different between X-ray and MRI models. The developed X-ray-based framework may pave the way for a clinically feasible approach for knee joint FE modeling.

Original languageEnglish
Pages (from-to)666-679
Number of pages14
JournalAnnals of Biomedical Engineering
Volume50
Issue number6
Early online date9 Mar 2022
DOIs
Publication statusPublished - Jun 2022

Bibliographical note

Funding Information:
Financial support from Academy of Finland (#324529, #324994, #328920, #334773—under the Frame of ERA PerMed), Strategic Funding of University of Eastern Finland, Sigrid Juselius Foundation and Alfred Kordelin Foundation (#190317) are acknowledged.

Publisher Copyright:
© 2022, The Author(s).

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