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High Resolution Simulation of Diastolic Left Ventricular Hemodynamics Guided by Four-Dimensional Flow Magnetic Resonance Imaging Data

  • Trung Bao Le
  • Mohammed S. M. Elbaz
  • Rob J. Van Der Geest
  • Fotis SotiropoulosEmail author
Article

Abstract

We investigate the diastolic hemodynamics in a patient-specific left ventricle (LV) of a healthy subject using four dimensional flow magnetic resonance imaging (4D-Flow MRI) measurement and numerical simulation. From four dimensional Cardiac Magnetic Resonance (CMR) Imaging data, the kinematics of the endocardium is reconstructed. The endocardial kinematics and the time varying velocity distribution from 4D-Flow MRI at the mitral orifice are prescribed as boundary conditions for the numerical simulation. Both 4D-Flow MRI data and numerical results show the classical formation of the mitral vortex ring (MVR) during E-wave filling. The in-vivo data reveals that a large three-dimensional vortex structure forms near in the mid-level region of LV during diastasis (mid-level vortex). This mid-level vortex is formed simultaneously with the MVR and has not been reported in the literature. Quantitative comparison shows that the computed kinetic energy (KE) evolves in a similar manner to one derived from 4D-Flow MRI data during early E-wave filling. Both computational and measurement data show that the peak KE at E-wave is approximately 8 mJ. Our results suggest that numerical simulation can be used to provide useful hemodynamic data given the inputs from 4D-Flow MRI, which is now available in clinical practice. However, further investigation is needed to understand the formation mechanism of the mid-level vortex and its implication on the end-diastolic flow pattern.

Keywords

Left ventricle 4D-Flow MRI Vortex ring Immersed boundary method 

Notes

Acknowledgment

We acknowledge the support of computational time from the Minnesota Supercomputing Institute (University of Minnesota) and the Institute for Advanced Computational Science (Stony Brook University). The lead author (Trung Bao Le) acknowledges the support for the computational time from the Director’s Discretionary Allocation of of Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.

Ethical Statements

This work was supported by Leilei Institute of Heart at the University of Minnesota. The authors declare that they have no conflict of interest.

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  • Trung Bao Le
    • 1
    • 2
  • Mohammed S. M. Elbaz
    • 3
  • Rob J. Van Der Geest
    • 3
  • Fotis Sotiropoulos
    • 4
    Email author
  1. 1.Hydraulics DivisionThuy Loi UniversityHanoiVietnam
  2. 2.Department of Civil and Environmental EngineeringNorth Dakota State UniversityFargoUSA
  3. 3.Division of Image Processing, Department of RadiologyLeiden University Medical CenterLeidenThe Netherlands
  4. 4.Department of Civil EngineeringStony Brook UniversityStony BrookUSA

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