The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries

Journal article


Mendieta, J.B., Fontarosa, D., Wang, J., Paritala, P.K., McGahan, T., Lloyd, T. and Li, Z. (2020). The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries. Biomechanics and Modeling in Mechanobiology. 19, pp. 1477-1490. https://doi.org/10.1007/s10237-019-01282-7
AuthorsMendieta, J.B., Fontarosa, D., Wang, J., Paritala, P.K., McGahan, T., Lloyd, T. and Li, Z.
Abstract

The initiation and progression of atherosclerosis, which is the main cause of cardiovascular diseases, correlate with local haemodynamic factors such as wall shear stress (WSS). Numerical simulations such as computational fluid dynamics (CFD) based on medical imaging have been employed to analyse blood flow in different arteries with and without luminal stenosis. Patient-specific CFD models, however, have assumptions on blood rheology. The differences in the calculated haemodynamic factors between different rheological models have not been fully evaluated. In this study, carotid magnetic resonance imaging (MRI) was performed on six patients with different degrees of carotid stenosis and two healthy volunteers. Using the 3D reconstructed carotid geometries and the patient-specific boundary conditions, CFD simulations were performed by applying a Newtonian and four non-Newtonian models (Carreau, Cross, Quemada and Power-law). WSS descriptors and pressure gradient were analysed and compared between the models. The differences in the maximum and the average oscillatory shear index between the Newtonian and the non-Newtonian models were lower than 12.7% and 12%, respectively. The differences in pressure gradient were also within 15%. The differences in the mean time-averaged WSS (TAWSS) between the Newtonian and Cross, Carreau and Power-law models were lower than 6%. In contrast, a higher difference (26%) was found in Quemada. For the low TAWSS, the differences from the Newtonian to the non-Newtonian models were much larger, in the range of 0.4–31% for Carreau, 3–22% for Cross, 5–51% for Quemada and 10–41% for Power-law. The study suggests that the assumption of a Newtonian model is reasonable when the overall flow pattern or the mean values of the WSS descriptors are investigated. However, the non-Newtonian model is necessary when the low TAWSS region is the focus, especially for arteries with severe stenosis.

Year2020
Journal Biomechanics and Modeling in Mechanobiology
Journal citation19, pp. 1477-1490
PublisherSpringer
ISSN1617-7940
Digital Object Identifier (DOI)https://doi.org/10.1007/s10237-019-01282-7
Publication dates
Print02 Jan 2020
Publication process dates
Accepted17 Dec 2019
Deposited08 Jan 2024
Publisher's version
License
File Access Level
Open
Accepted author manuscript
License
File Access Level
Open
Permalink -

https://openresearch.lsbu.ac.uk/item/95zq9

Download files


Publisher's version
Benitez_BMMB_2020.pdf
License: CC BY 4.0
File access level: Open


Accepted author manuscript
Benitez_BMMB_2020.pdf
License: CC BY 4.0
File access level: Open

  • 15
    total views
  • 6
    total downloads
  • 2
    views this month
  • 2
    downloads this month

Export as

Related outputs

Constrained estimation of intracranial aneurysm surface deformation using 4D-CTA
Xie, H., Wu, H., Wang, J., Mendieta, J.B., Yu, H., Xiang, Y., Anbananthan, H., Zhang, J., Zhao, H., Zhu, Z., Huang, Q., Fang, R., Zhu, C. and Li, Z. (2024). Constrained estimation of intracranial aneurysm surface deformation using 4D-CTA. Computer Methods and Programs in Biomedicine. 244, p. 107975. https://doi.org/10.1016/j.cmpb.2023.107975
Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade
Paritala, P.K., Anbananthan, H., Hautaniemi, J., Smith, M., George, A., Allenby, M., Mendieta, J.B., Wang, J., Maclachlan, L., Liang, E., Prior, M., Yarlagadda, P.K.D.V., Winter, C. and Li, Z. (2023). Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade. Scientific Reports. 13, p. 219. https://doi.org/10.1038/s41598-022-27354-w
MRI-based mechanical analysis of carotid atherosclerotic plaque using a material-property-mapping approach: A material-property-mapping method for plaque stress analysis
Mendieta, J.B., Fontanarosa, D., Wang, J., Paritala. P.K., Muller, J., Lloyd, T. and Li, Z. (2023). MRI-based mechanical analysis of carotid atherosclerotic plaque using a material-property-mapping approach: A material-property-mapping method for plaque stress analysis. Computer Methods and Programs in Biomedicine. 231, p. 107417. https://doi.org/10.1016/j.cmpb.2023.107417
Impact of cyclic bending on coronary hemodynamics
Wang, J., Fang, R., Wu, H., Xiang, Y., Mendieta, J.B., Paritala, P.K., Fan, Z., Anbananthan, H., Catano, J.A.A., Raffel, O.C. and Li, Z. (2023). Impact of cyclic bending on coronary hemodynamics. Biomechanics and Modeling in Mechanobiology. 22, pp. 729-738. https://doi.org/10.1007/s10237-022-01677-z
Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study
Wang, J., Zietal, R., Arase, A., Couzens, G., Pivonka, P. and Fontanarosa, D. (2023). Computer-assisted pre-operative automatic segmentation and registration tool for malunited radius osteotomy: A proof-of-concept study. Results in Engineering. 19, p. 101295. https://doi.org/10.1016/j.rineng.2023.101295
Shape dependent protein‐induced stabilization of gold nanoparticles: From a protein corona perspective
Tukova, A., Nie, Y., Tavakkoli Yaraki, M., Tran, N.T., Wang, J., Rodger, A., Gu, Y. and Wang, Y. (2023). Shape dependent protein‐induced stabilization of gold nanoparticles: From a protein corona perspective. Aggregate. 4 (4), p. e323. https://doi.org/10.1002/agt2.323
Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function
Wu, H., Wang, J., Catano, J.A.A., Sun, C. and Li, Z. (2022). Optical coherence elastography based on inverse compositional Gauss-Newton digital volume correlation with second-order shape function. Optics Express. 30 (23), pp. 41954-41968. https://doi.org/10.1364/OE.473898
Atomistic Investigation of Titanium Carbide Ti8C5 under Impact Loading
Xia, K., Zhan, H., Shao, J., Wang, J., Zheng, Z., Zhang, X. and Li, Z. (2022). Atomistic Investigation of Titanium Carbide Ti8C5 under Impact Loading. Metals. 12 (11), p. 1989. https://doi.org/10.3390/met12111989
The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability
Xiang, Y., Huang, X., Mendieta, J.B., Wang, J., Paritala, P.K., Lloyd, T. and Li, Z. (2022). The Need to Shift from Morphological to Structural Assessment for Carotid Plaque Vulnerability. Biomedicines. 10 (12), p. 3038. https://doi.org/10.3390/biomedicines10123038
Computational Fluid Dynamics Simulations at Micro-Scale Stenosis for Microfluidic Thrombosis Model Characterization
Zhao, Y.C., Vatankhah, P., Goh, T., Wang, J., Chen, X.V., Kashani, M.N., Zheng, K., Li, Z. and Ju, L.A. (2021). Computational Fluid Dynamics Simulations at Micro-Scale Stenosis for Microfluidic Thrombosis Model Characterization. Molecular & Cellular Biomechanics. 18 (1), pp. 1-10. https://doi.org/10.32604/mcb.2021.012598
Optical coherence tomography-based patient-specific coronary artery reconstruction and fluid–structure interaction simulation
Wang, J., Paritala, P.K., Mendieta, J.B., Komori, Y., Raffel, O.C., Gu, Y. and Li, Z. (2020). Optical coherence tomography-based patient-specific coronary artery reconstruction and fluid–structure interaction simulation. Biomechanics and Modeling in Mechanobiology. 19, pp. 7-20. https://doi.org/10.1007/s10237-019-01191-9
Characterization of the Atherosclerotic Plaque Tissue
Paritala, P.K., Yarlagadda, T., Mendieta, J.B., Wang, J., Gu, Y., Li, Z. and Yarlagadda, P.K.D.V. (2020). Characterization of the Atherosclerotic Plaque Tissue. Advanced Materials Letters. 11 (5). https://doi.org/10.5185/amlett.2020.051507
Automated classification of coronary plaque calcification in OCT pullbacks with 3D deep neural networks
He, C., Wang, J., Yin, Y. and Li, Z. (2020). Automated classification of coronary plaque calcification in OCT pullbacks with 3D deep neural networks. Journal of Biomedical Optics. 26 (9), p. 095003. https://doi.org/10.1117/1.JBO.25.9.095003
Stress-Relaxation and Cyclic Behavior of Human Carotid Plaque Tissue
Wang, J. (2020). Stress-Relaxation and Cyclic Behavior of Human Carotid Plaque Tissue. Frontiers in Bioengineering and Biotechnology. 8. https://doi.org/10.3389/fbioe.2020.00060
Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation
He, C., Li, Z., Wang, J., Huang, Y., Yin, Y. and Li, Z. (2020). Atherosclerotic Plaque Tissue Characterization: An OCT-Based Machine Learning Algorithm With ex vivo Validation. Frontiers in Bioengineering and Biotechnology. 8. https://doi.org/10.3389/fbioe.2020.00749
Carotid Bifurcation With Tandem Stenosis—A Patient-Specific Case Study Combined in vivo Imaging, in vitro Histology and in silico Simulation
Wang, J., Paritala, P.K., Mendieta, J.B., Gu, Y., Raffel, O.C., McGahan, T., Lloyd, T. and Li, Z. (2019). Carotid Bifurcation With Tandem Stenosis—A Patient-Specific Case Study Combined in vivo Imaging, in vitro Histology and in silico Simulation. Frontiers in Bioengineering and Biotechnology. 7. https://doi.org/10.3389/fbioe.2019.00349
Prediction of atherosclerotic plaque life – Perceptions from fatigue analysis
Paritala, P.K., Yarlagadda, T., Wang, J., Gu, Y.T. and Li, Z. (2019). Prediction of atherosclerotic plaque life – Perceptions from fatigue analysis. Procedia Manufacturing. 30, pp. 522-529. https://doi.org/10.1016/j.promfg.2019.02.073
3D-printing based Transducer Holder for Robotic Assisted Ultrasound Guided HIFU
Wang, J., Xu, X., Huang, Z. and Melzer, A. (2019). 3D-printing based Transducer Holder for Robotic Assisted Ultrasound Guided HIFU. Procedia Manufacturing. 30, pp. 3-10. https://doi.org/10.1016/j.promfg.2019.02.002
Numerical investigation of atherosclerotic plaque rupture using optical coherence tomography imaging and XFEM
Paritala, P.K., Yarlagadda, P.K.D.V., Wang, J., Gu, Y. and Li, Z. (2018). Numerical investigation of atherosclerotic plaque rupture using optical coherence tomography imaging and XFEM. Engineering Fracture Mechanics. 204, pp. 531-541. https://doi.org/10.1016/j.engfracmech.2018.11.002
Intravascular Optical Coherence Tomography Image Segmentation Based on Support Vector Machine Algorithm
Huang, Y., He, C., Wang, J., Miao, Y., Zhu, T., Zhou, P. and Li, Z. (2018). Intravascular Optical Coherence Tomography Image Segmentation Based on Support Vector Machine Algorithm. Molecular & Cellular Biomechanics. 15 (2), pp. 117-125. https://doi.org/10.3970/mcb.2018.02478
The Correlation Between Texture Features and Fibrous Cap Thickness of Lipid-Rich Atheroma Based on Optical Coherence Tomography Imaging
He, C., Wang, J., Huang, Y., Zhu, T., Miao. Y. and Li, Z. (2016). The Correlation Between Texture Features and Fibrous Cap Thickness of Lipid-Rich Atheroma Based on Optical Coherence Tomography Imaging. Molecular & Cellular Biomechanics. 13 (1), pp. 23-36. https://doi.org/10.3970/mcb.2016.013.027
Thiel soft embalmed Porcine Kidney Perfusion Model for focused ultrasound therapy
Wang, J., Xiao, X., Duncan, R., Karakitsios, I., Huang, Z., Mcleod, H. and Melzer, A. (2015). Thiel soft embalmed Porcine Kidney Perfusion Model for focused ultrasound therapy. 2015 IEEE International Ultrasonics Symposium (IUS). Taipei, Taiwan 21 Oct - 24 Nov 2015 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ULTSYM.2015.0506