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Toward hemodynamic diagnosis of carotid artery stenosis based on ultrasound image data and computational modeling

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Abstract

The ability of using non-expensive ultrasound (US) image data together with computer fluid simulation to access various severities of carotid stenosis was inquired in this study. Subject-specific hemodynamic conditions were simulated using a developed finite element solver. Individual structured meshing of the common carotid artery (CCA) bifurcation was built from segmented longitudinal and cross-sectional US images; imposed boundary velocities were based on Doppler US measurements. Simulated hemodynamic parameters such as velocities, wall shear stress (WSS) and derived descriptors were able to predict disturbed flow conditions which play an important role in the development of local atherosclerotic plaques. Hemodynamic features from six individual CCA bifurcations were analyzed. High values of time-averaged WSS (TAWSS) were found at stenosis site. Low values of TAWSS were found at the bulb and at the carotid internal and external branches depending on the particular features of each patient. High oscillating shear index and relative residence time values assigned highly disturbed flows at the same artery surface regions that correlate only moderately with low TAWSS results. Based on clinic US examinations, results provide estimates of flow changes and forces at the carotid artery wall toward the link between hemodynamic behavior and stenosis pathophysiology.

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Acknowledgments

This work was partially done in the scope of project PTDC/SAU-BEB/102547/2008, “Blood flow simulation in arterial networks toward application at hospital,” financially supported by Fundação para a Ciência e a Tecnologia (FCT) in Portugal.

Conflict of interest

All authors hereby declare no conflicts of interest.

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Authors and Affiliations

  1. Faculdade de Engenharia, Instituto de Engenharia Mecânica (IDMEC-Polo FEUP), Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    Luísa C. Sousa, Catarina F. Castro & Carlos C. António

  2. Faculdade de Engenharia, Instituto de Engenharia Mecânica e Gestão Industrial, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal

    André Miguel F. Santos & João Manuel R. S. Tavares

  3. Departamento de Neurologia, Faculdade de Medicina, Hospital São João, Universidade do Porto, Alameda Professor Hernâni Monteiro, 4200-319, Porto, Portugal

    Rosa Maria dos Santos, Pedro Miguel A. C. Castro & Elsa Azevedo

Authors
  1. Luísa C. Sousa
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  2. Catarina F. Castro
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  3. Carlos C. António
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  4. André Miguel F. Santos
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  6. Pedro Miguel A. C. Castro
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  7. Elsa Azevedo
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  8. João Manuel R. S. Tavares
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Correspondence to Luísa C. Sousa.

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Sousa, L.C., Castro, C.F., António, C.C. et al. Toward hemodynamic diagnosis of carotid artery stenosis based on ultrasound image data and computational modeling. Med Biol Eng Comput 52, 971–983 (2014). https://doi.org/10.1007/s11517-014-1197-z

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  • DOI: https://doi.org/10.1007/s11517-014-1197-z

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