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4D Flow MRI-based pressure loss estimation in stenotic flows: Evaluation using numerical simulations.

Belen Casas1,2, Jonas Lantz1,2,3, Petter Dyverfeldt1,2

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Summary

The extended Bernoulli equation best estimates transstenotic pressure gradients (TPGnet) from 4D flow MRI, outperforming simplified methods. Turbulent kinetic energy (TKE) also shows strong correlation with TPGnet.

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Area of Science:

  • Cardiovascular Imaging
  • Biomedical Engineering
  • Fluid Dynamics

Background:

  • Accurate assessment of transstenotic pressure gradients (TPGnet) is crucial for evaluating stenosis severity.
  • 4D flow MRI offers advanced visualization but requires validation of pressure and energy loss estimation methods.

Purpose of the Study:

  • To evaluate 4D flow MRI-derived pressure and energy loss metrics against net transstenotic pressure gradients (TPGnet).
  • To determine the influence of spatial resolution on these estimations.

Main Methods:

  • Computational fluid dynamics (CFD) simulations generated stenotic flow data.
  • MRI measurements were simulated across various spatial resolutions.
  • Simplified and extended Bernoulli equations, Pressure-Poisson equation (PPE), and turbulent kinetic energy (TKE) and viscous dissipation integrations were compared to true TPGnet.

Main Results:

  • The extended Bernoulli equation provided the most accurate TPGnet estimation compared to the simplified Bernoulli and PPE.
  • Total TKE and viscous dissipation showed strong correlations with TPGnet (r² > 0.93).
  • TKE estimates were accurate and minimally affected by spatial resolution, while viscous dissipation was underestimated and resolution-dependent.

Conclusions:

  • The extended Bernoulli equation is a reliable method for estimating TPGnet from 4D flow MRI in idealized conditions.
  • Turbulent kinetic energy (TKE) is a robust parameter for assessing TPGnet, showing less dependence on spatial resolution.