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

Steven Lankheet; Femke F. Schröder; Kilian D.R. Kappert; Elgun Zeegers; Wouter Ten Cate; Zeinab Kamal; E.E.G. Hekman; Malte Asseln

doi:10.29007/76dz

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

Steven Lankheet, Femke F. Schröder, Kilian D.R. Kappert, Elgun Zeegers, Wouter Ten Cate, Zeinab Kamal, E.E.G. Hekman, Malte Asseln

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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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.

Original language	English
Title of host publication	Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orhopaedic Surgery
Publisher	EasyChair
Pages	112-116
Volume	7
DOIs	https://doi.org/10.29007/76dz
Publication status	Published - 17 Dec 2024
Event	24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, CAOS 2024 - Groningen, Netherlands Duration: 19 Jun 2024 → 22 Jun 2024 Conference number: 24

Conference

Conference	24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, CAOS 2024
Abbreviated title	CAOS 2024
Country/Territory	Netherlands
City	Groningen
Period	19/06/24 → 22/06/24

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Lankheet, S., Schröder, F. F., Kappert, K. D. R., Zeegers, E., Ten Cate, W., Kamal, Z., Hekman, E. E. G., & Asseln, M. (2024). Comparing Finite Element Models of the Foot for Predicting Plantar Pressure in the Clinic. In Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orhopaedic Surgery (Vol. 7, pp. 112-116). EasyChair. https://doi.org/10.29007/76dz

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title = "Comparing Finite Element Models of the Foot for Predicting Plantar Pressure in the Clinic",

abstract = "Predicting plantar pressure using personalized finite element (FE) biomechanical models of the patient{\textquoteright}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.",

author = "Steven Lankheet and Schr{\"o}der, {Femke F.} and Kappert, {Kilian D.R.} and Elgun Zeegers and {Ten Cate}, Wouter and Zeinab Kamal and E.E.G. Hekman and Malte Asseln",

year = "2024",

month = dec,

day = "17",

doi = "10.29007/76dz",

language = "English",

volume = "7",

pages = "112--116",

booktitle = "Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orhopaedic Surgery",

publisher = "EasyChair",

address = "United Kingdom",

note = "24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, CAOS 2024, CAOS 2024 ; Conference date: 19-06-2024 Through 22-06-2024",

}

Lankheet, S , Schröder, FF , Kappert, KDR, Zeegers, E, Ten Cate, W, Kamal, Z, Hekman, EEG & Asseln, M 2024, Comparing Finite Element Models of the Foot for Predicting Plantar Pressure in the Clinic. in Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orhopaedic Surgery. vol. 7, EasyChair, pp. 112-116, 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, CAOS 2024, Groningen, Netherlands, 19/06/24. https://doi.org/10.29007/76dz

Comparing Finite Element Models of the Foot for Predicting Plantar Pressure in the Clinic. / Lankheet, Steven ; Schröder, Femke F.; Kappert, Kilian D.R. et al.
Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orhopaedic Surgery. Vol. 7 EasyChair, 2024. p. 112-116.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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T1 - Comparing Finite Element Models of the Foot for Predicting Plantar Pressure in the Clinic

AU - Lankheet, Steven

AU - Schröder, Femke F.

AU - Kappert, Kilian D.R.

AU - Zeegers, Elgun

AU - Ten Cate, Wouter

AU - Kamal, Zeinab

AU - Hekman, E.E.G.

AU - Asseln, Malte

N1 - Conference code: 24

PY - 2024/12/17

Y1 - 2024/12/17

N2 - 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.

AB - 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.

U2 - 10.29007/76dz

DO - 10.29007/76dz

M3 - Conference contribution

VL - 7

SP - 112

EP - 116

BT - Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orhopaedic Surgery

PB - EasyChair

T2 - 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery, CAOS 2024

Y2 - 19 June 2024 through 22 June 2024

ER -

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

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