Comparing Finite Element Models of the Foot for Predicting Plantar Pressure in the Clinic

5 pages•Published: December 17, 2024

Steven Lankheet, Femke Schröder, Kilian Kappert, Elgun Zeegers, Wouter Ten Cate, Zeinab Kamal, Edsko Hekman and Malte Asseln

Abstract

Predicting plantar pressure using personalized finite element (FE) biomechanical models of the patient’s anatomy holds significant promise for aiding in virtual surgical planning and predicting clinical outcomes. While sophisticated FE models have been described in literature, they are not suitable for routine clinical care as the personalization is complex and the model calculation is computationally intensive. Therefore, an automatically generated FE biomechanical model of the foot is presented, offering an efficient alternative for clinical application, and it is qualitatively compared against a computationally intensive sophisticated FE model previously published by our group.

Keyphrases: complex foot deformities, finite element model, patient specific modelling, plantar pressure

In: Joshua W Giles and Aziliz Guezou-Philippe (editors). Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, vol 7, pages 112-116.

Links:	https://easychair.org/publications/paper/tCdM
	https://doi.org/10.29007/76dz

BibTeX entry

@inproceedings{CAOS2024:Comparing_Finite_Element_Models,
  author    = {Steven Lankheet and Femke Schröder and Kilian Kappert and Elgun Zeegers and Wouter Ten Cate and Zeinab Kamal and Edsko Hekman and Malte Asseln},
  title     = {Comparing Finite Element Models of the Foot for Predicting Plantar Pressure in the Clinic},
  booktitle = {Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery},
  editor    = {Joshua W Giles and Aziliz Guezou-Philippe},
  series    = {EPiC Series in Health Sciences},
  volume    = {7},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-5305},
  url       = {/publications/paper/tCdM},
  doi       = {10.29007/76dz},
  pages     = {112-116},
  year      = {2024}}

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