Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach

Su Guvenir Torun; Hakki M. Torun; Hendrik H.G. Hansen; Chris L. de Korte; Antonius F.W. van der Steen; Frank J.H. Gijsen; Ali C. Akyildiz

doi:10.1016/j.jmbbm.2021.104996

Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach

Su Guvenir Torun^*, Hakki M. Torun, Hendrik H.G. Hansen, Chris L. de Korte, Antonius F.W. van der Steen, Frank J.H. Gijsen, Ali C. Akyildiz

^*Corresponding author for this work

Cardiology

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Objective: Plaque rupture in atherosclerotic carotid arteries is a main cause of ischemic stroke and it is correlated with high plaque stresses. Hence, analyzing stress patterns is essential for plaque specific rupture risk assessment. However, the critical information of the multicomponent material properties of atherosclerotic carotid arteries is still lacking greatly. This work aims to characterize component-wise material properties of atherosclerotic human carotid arteries under (almost) physiological loading conditions. Methods: An inverse finite element modeling (iFEM) framework was developed to characterize fibrous intima and vessel wall material properties of 13 cross sections from five carotids. The novel pipeline comprised ex-vivo inflation testing, pre-clinical high frequency ultrasound for deriving plaque deformations, pre-clinical high-magnetic field magnetic resonance imaging, finite element modeling, and a sample efficient machine learning based Bayesian Optimization. Results: The nonlinear Yeoh constants for the fibrous intima and wall layers were successfully obtained. The optimization scheme of the iFEM reached the global minimum with a mean error of 3.8% in 133 iterations on average. The uniqueness of the results were confirmed with the inverted Gaussian Process (GP) model trained during the iFEM protocol. Conclusion: The developed iFEM approach combined with the inverted GP model successfully predicted component-wise material properties of intact atherosclerotic human carotids ex-vivo under physiological-like loading conditions. Significance: We developed a novel iFEM framework for the nonlinear, component-wise material characterization of atherosclerotic arteries and utilized it to obtain human atherosclerotic carotid material properties. The developed iFEM framework has great potential to be advanced for patient-specific in-vivo application.

Original language	English
Article number	104996
Journal	Journal of the Mechanical Behavior of Biomedical Materials
Volume	126
DOIs	https://doi.org/10.1016/j.jmbbm.2021.104996
Publication status	Published - Feb 2022

Bibliographical note

Funding Information:
This work was supported by the European Commission's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement # 749283 . The authors thank Joost Haeck, Suze-Anne Korteland, Michael Manten and Jaap Bongers for their support to the project.

Funding Information:
This work was supported in part by the European Commission's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement # 749283.This work was supported by the European Commission's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement #749283. The authors thank Joost Haeck, Suze-Anne Korteland, Michael Manten and Jaap Bongers for their support to the project.

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© 2021 The Authors

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Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approachFinal published version, 5.7 MBLicence: CC BY-NC-ND

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Guvenir Torun, S., Torun, H. M., Hansen, H. H. G., de Korte, C. L., van der Steen, A. F. W., Gijsen, F. J. H., & Akyildiz, A. C. (2022). Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach. Journal of the Mechanical Behavior of Biomedical Materials, 126, Article 104996. https://doi.org/10.1016/j.jmbbm.2021.104996

@article{a55fc07a59dd471dba6aa15438ddb483,

title = "Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach",

abstract = "Objective: Plaque rupture in atherosclerotic carotid arteries is a main cause of ischemic stroke and it is correlated with high plaque stresses. Hence, analyzing stress patterns is essential for plaque specific rupture risk assessment. However, the critical information of the multicomponent material properties of atherosclerotic carotid arteries is still lacking greatly. This work aims to characterize component-wise material properties of atherosclerotic human carotid arteries under (almost) physiological loading conditions. Methods: An inverse finite element modeling (iFEM) framework was developed to characterize fibrous intima and vessel wall material properties of 13 cross sections from five carotids. The novel pipeline comprised ex-vivo inflation testing, pre-clinical high frequency ultrasound for deriving plaque deformations, pre-clinical high-magnetic field magnetic resonance imaging, finite element modeling, and a sample efficient machine learning based Bayesian Optimization. Results: The nonlinear Yeoh constants for the fibrous intima and wall layers were successfully obtained. The optimization scheme of the iFEM reached the global minimum with a mean error of 3.8% in 133 iterations on average. The uniqueness of the results were confirmed with the inverted Gaussian Process (GP) model trained during the iFEM protocol. Conclusion: The developed iFEM approach combined with the inverted GP model successfully predicted component-wise material properties of intact atherosclerotic human carotids ex-vivo under physiological-like loading conditions. Significance: We developed a novel iFEM framework for the nonlinear, component-wise material characterization of atherosclerotic arteries and utilized it to obtain human atherosclerotic carotid material properties. The developed iFEM framework has great potential to be advanced for patient-specific in-vivo application.",

author = "{Guvenir Torun}, Su and Torun, {Hakki M.} and Hansen, {Hendrik H.G.} and {de Korte}, {Chris L.} and {van der Steen}, {Antonius F.W.} and Gijsen, {Frank J.H.} and Akyildiz, {Ali C.}",

note = "Funding Information: This work was supported by the European Commission's Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie grant agreement # 749283 . The authors thank Joost Haeck, Suze-Anne Korteland, Michael Manten and Jaap Bongers for their support to the project. Funding Information: This work was supported in part by the European Commission's Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie grant agreement # 749283.This work was supported by the European Commission's Horizon 2020 research and innovation programme under the Marie Sk{\l}odowska-Curie grant agreement #749283. The authors thank Joost Haeck, Suze-Anne Korteland, Michael Manten and Jaap Bongers for their support to the project. Publisher Copyright: {\textcopyright} 2021 The Authors",

year = "2022",

month = feb,

doi = "10.1016/j.jmbbm.2021.104996",

language = "English",

volume = "126",

journal = "Journal of the Mechanical Behavior of Biomedical Materials",

issn = "1751-6161",

publisher = "Elsevier Ltd.",

}

Guvenir Torun, S, Torun, HM, Hansen, HHG, de Korte, CL, van der Steen, AFW , Gijsen, FJH & Akyildiz, AC 2022, 'Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach', Journal of the Mechanical Behavior of Biomedical Materials, vol. 126, 104996. https://doi.org/10.1016/j.jmbbm.2021.104996

Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach. / Guvenir Torun, Su; Torun, Hakki M.; Hansen, Hendrik H.G. et al.
In: Journal of the Mechanical Behavior of Biomedical Materials, Vol. 126, 104996, 02.2022.

Research output: Contribution to journal › Article › Academic › peer-review

TY - JOUR

T1 - Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach

AU - Guvenir Torun, Su

AU - Torun, Hakki M.

AU - Hansen, Hendrik H.G.

AU - de Korte, Chris L.

AU - van der Steen, Antonius F.W.

AU - Gijsen, Frank J.H.

AU - Akyildiz, Ali C.

N1 - Funding Information: This work was supported by the European Commission's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement # 749283 . The authors thank Joost Haeck, Suze-Anne Korteland, Michael Manten and Jaap Bongers for their support to the project. Funding Information: This work was supported in part by the European Commission's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement # 749283.This work was supported by the European Commission's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement #749283. The authors thank Joost Haeck, Suze-Anne Korteland, Michael Manten and Jaap Bongers for their support to the project. Publisher Copyright: © 2021 The Authors

PY - 2022/2

Y1 - 2022/2

N2 - Objective: Plaque rupture in atherosclerotic carotid arteries is a main cause of ischemic stroke and it is correlated with high plaque stresses. Hence, analyzing stress patterns is essential for plaque specific rupture risk assessment. However, the critical information of the multicomponent material properties of atherosclerotic carotid arteries is still lacking greatly. This work aims to characterize component-wise material properties of atherosclerotic human carotid arteries under (almost) physiological loading conditions. Methods: An inverse finite element modeling (iFEM) framework was developed to characterize fibrous intima and vessel wall material properties of 13 cross sections from five carotids. The novel pipeline comprised ex-vivo inflation testing, pre-clinical high frequency ultrasound for deriving plaque deformations, pre-clinical high-magnetic field magnetic resonance imaging, finite element modeling, and a sample efficient machine learning based Bayesian Optimization. Results: The nonlinear Yeoh constants for the fibrous intima and wall layers were successfully obtained. The optimization scheme of the iFEM reached the global minimum with a mean error of 3.8% in 133 iterations on average. The uniqueness of the results were confirmed with the inverted Gaussian Process (GP) model trained during the iFEM protocol. Conclusion: The developed iFEM approach combined with the inverted GP model successfully predicted component-wise material properties of intact atherosclerotic human carotids ex-vivo under physiological-like loading conditions. Significance: We developed a novel iFEM framework for the nonlinear, component-wise material characterization of atherosclerotic arteries and utilized it to obtain human atherosclerotic carotid material properties. The developed iFEM framework has great potential to be advanced for patient-specific in-vivo application.

AB - Objective: Plaque rupture in atherosclerotic carotid arteries is a main cause of ischemic stroke and it is correlated with high plaque stresses. Hence, analyzing stress patterns is essential for plaque specific rupture risk assessment. However, the critical information of the multicomponent material properties of atherosclerotic carotid arteries is still lacking greatly. This work aims to characterize component-wise material properties of atherosclerotic human carotid arteries under (almost) physiological loading conditions. Methods: An inverse finite element modeling (iFEM) framework was developed to characterize fibrous intima and vessel wall material properties of 13 cross sections from five carotids. The novel pipeline comprised ex-vivo inflation testing, pre-clinical high frequency ultrasound for deriving plaque deformations, pre-clinical high-magnetic field magnetic resonance imaging, finite element modeling, and a sample efficient machine learning based Bayesian Optimization. Results: The nonlinear Yeoh constants for the fibrous intima and wall layers were successfully obtained. The optimization scheme of the iFEM reached the global minimum with a mean error of 3.8% in 133 iterations on average. The uniqueness of the results were confirmed with the inverted Gaussian Process (GP) model trained during the iFEM protocol. Conclusion: The developed iFEM approach combined with the inverted GP model successfully predicted component-wise material properties of intact atherosclerotic human carotids ex-vivo under physiological-like loading conditions. Significance: We developed a novel iFEM framework for the nonlinear, component-wise material characterization of atherosclerotic arteries and utilized it to obtain human atherosclerotic carotid material properties. The developed iFEM framework has great potential to be advanced for patient-specific in-vivo application.

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U2 - 10.1016/j.jmbbm.2021.104996

DO - 10.1016/j.jmbbm.2021.104996

M3 - Article

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SN - 1751-6161

VL - 126

JO - Journal of the Mechanical Behavior of Biomedical Materials

JF - Journal of the Mechanical Behavior of Biomedical Materials

M1 - 104996

ER -

Multicomponent material property characterization of atherosclerotic human carotid arteries through a Bayesian Optimization based inverse finite element approach

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