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Pulse wave velocity : a clinical measure to aid material parameter estimation in computational arterial biomechanics

Lise Gheysen (UGent) , Lauranne Maes, Nele Famaey (UGent) and Patrick Segers (UGent)
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Abstract
Determining proper material parameters from clinical data remains a large, though unavoidable, challenge in patient-specific computational cardiovascular modeling. In an attempt to couple the clinical and modelling practice, this study investigated whether pulse wave velocity (PWV), a clinical arterial stiffness measure, can guide in determining appropriate parameter values for the Gasser-Ogden-Holzapfel (GOH) constitutive model. The reduction and uncertainty analysis was demonstrated on a cylindrical descending thoracic aorta model.Starting from discretized ranges of GOH parameters and using a full factorial design, the parameter sets yielding a physiological PWV (3.5-12.5 m/s) at diastolic pressure (80 mmHg; PWV80) were selected and their PWV at dicrotic notch pressure (110 mmHg; PWV110) was determined. These PWV measures were applied to determine the reduction of the 7D GOH parameter space, the 2D subspaces and the remaining uncertainty in case only PWV80 or both measurements are available.The resulting 12,032 parameter sets lead to a 7D parameter space reduction of >= 82.5 % using PWV80, which increased to 96.0 % when including PWV110, in particular at 3.5-8.5 m/s. A similar trend was observed for the remaining uncertainty and the 2D subspaces comprised of medial collagen fiber parameters, while scarce reductions were found for the adventitial and elastin parameters.In conclusion, PWV80 and PWV110 are complementary measures with the potential to reduce the GOH parameter space in arterial models, in particular for media- and collagen-related parameters. Moreover, this approach has the advantage that it allows the estimation of the remaining uncertainty after parameter space reduction.
Keywords
Rehabilitation, Biomedical Engineering, Orthopedics and Sports Medicine, Biophysics, Pulse wave velocity, Parameter space reduction, Uncertainty, Constitutive model, Arterial biomechanics, ABDOMINAL AORTAS, DICROTIC NOTCH, D-ASPARTATE, ANEURYSMS

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MLA
Gheysen, Lise, et al. “Pulse Wave Velocity : A Clinical Measure to Aid Material Parameter Estimation in Computational Arterial Biomechanics.” JOURNAL OF BIOMECHANICS, vol. 149, 2023, doi:10.1016/j.jbiomech.2023.111482.
APA
Gheysen, L., Maes, L., Famaey, N., & Segers, P. (2023). Pulse wave velocity : a clinical measure to aid material parameter estimation in computational arterial biomechanics. JOURNAL OF BIOMECHANICS, 149. https://doi.org/10.1016/j.jbiomech.2023.111482
Chicago author-date
Gheysen, Lise, Lauranne Maes, Nele Famaey, and Patrick Segers. 2023. “Pulse Wave Velocity : A Clinical Measure to Aid Material Parameter Estimation in Computational Arterial Biomechanics.” JOURNAL OF BIOMECHANICS 149. https://doi.org/10.1016/j.jbiomech.2023.111482.
Chicago author-date (all authors)
Gheysen, Lise, Lauranne Maes, Nele Famaey, and Patrick Segers. 2023. “Pulse Wave Velocity : A Clinical Measure to Aid Material Parameter Estimation in Computational Arterial Biomechanics.” JOURNAL OF BIOMECHANICS 149. doi:10.1016/j.jbiomech.2023.111482.
Vancouver
1.
Gheysen L, Maes L, Famaey N, Segers P. Pulse wave velocity : a clinical measure to aid material parameter estimation in computational arterial biomechanics. JOURNAL OF BIOMECHANICS. 2023;149.
IEEE
[1]
L. Gheysen, L. Maes, N. Famaey, and P. Segers, “Pulse wave velocity : a clinical measure to aid material parameter estimation in computational arterial biomechanics,” JOURNAL OF BIOMECHANICS, vol. 149, 2023.
@article{01GY7JSC6PYFMYCJBNE7TME23M,
  abstract     = {{Determining proper material parameters from clinical data remains a large, though unavoidable, challenge in patient-specific computational cardiovascular modeling. In an attempt to couple the clinical and modelling practice, this study investigated whether pulse wave velocity (PWV), a clinical arterial stiffness measure, can guide in determining appropriate parameter values for the Gasser-Ogden-Holzapfel (GOH) constitutive model. The reduction and uncertainty analysis was demonstrated on a cylindrical descending thoracic aorta model.Starting from discretized ranges of GOH parameters and using a full factorial design, the parameter sets yielding a physiological PWV (3.5-12.5 m/s) at diastolic pressure (80 mmHg; PWV80) were selected and their PWV at dicrotic notch pressure (110 mmHg; PWV110) was determined. These PWV measures were applied to determine the reduction of the 7D GOH parameter space, the 2D subspaces and the remaining uncertainty in case only PWV80 or both measurements are available.The resulting 12,032 parameter sets lead to a 7D parameter space reduction of >= 82.5 % using PWV80, which increased to 96.0 % when including PWV110, in particular at 3.5-8.5 m/s. A similar trend was observed for the remaining uncertainty and the 2D subspaces comprised of medial collagen fiber parameters, while scarce reductions were found for the adventitial and elastin parameters.In conclusion, PWV80 and PWV110 are complementary measures with the potential to reduce the GOH parameter space in arterial models, in particular for media- and collagen-related parameters. Moreover, this approach has the advantage that it allows the estimation of the remaining uncertainty after parameter space reduction.}},
  articleno    = {{111482}},
  author       = {{Gheysen, Lise and Maes, Lauranne and Famaey, Nele and Segers, Patrick}},
  issn         = {{0021-9290}},
  journal      = {{JOURNAL OF BIOMECHANICS}},
  keywords     = {{Rehabilitation,Biomedical Engineering,Orthopedics and Sports Medicine,Biophysics,Pulse wave velocity,Parameter space reduction,Uncertainty,Constitutive model,Arterial biomechanics,ABDOMINAL AORTAS,DICROTIC NOTCH,D-ASPARTATE,ANEURYSMS}},
  language     = {{eng}},
  pages        = {{17}},
  title        = {{Pulse wave velocity : a clinical measure to aid material parameter estimation in computational arterial biomechanics}},
  url          = {{http://doi.org/10.1016/j.jbiomech.2023.111482}},
  volume       = {{149}},
  year         = {{2023}},
}

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