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Comparing raw 4D Flow MRI and computational fluid dynamics (CFD) showed poor correlation. However, after artifact removal and resolution matching, both techniques provided reliable and correlated hemodynamic data.

Keywords:
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Area of Science:

  • Medical Imaging and Fluid Dynamics

Background:

  • Accurate hemodynamic assessment is crucial for understanding cardiovascular diseases.
  • 4D Flow MRI and Computational Fluid Dynamics (CFD) are advanced techniques for hemodynamic analysis.
  • Direct comparison and validation between these methods are essential but challenging.

Purpose of the Study:

  • To compare hemodynamics derived from 4D Flow MRI with CFD predictions in an idealized flow phantom.
  • To identify and evaluate sources of discrepancies between the two techniques.
  • To establish a methodology for improving correlation between 4D Flow MRI and CFD.

Main Methods:

  • Acquisition of 4D Flow MRI in a rigid flow phantom with aneurysm, curved channel, and bifurcation under pulsatile flow.
  • Processing of MRI data to remove artifacts.
  • CFD simulations performed on the same flow domain using a high-order low dissipative flow solver.
  • Comparison and correlation analysis between processed MRI data and CFD results, including resolution matching.

Main Results:

  • Raw 4D Flow MRI and CFD data showed a poor correlation (r² = 0.63).
  • Post-processing MRI data to remove artifacts and down-sampling CFD results significantly improved correlation (r² = 0.97).
  • Specific sources of discrepancies were identified and their impact quantified.

Conclusions:

  • Achieving good agreement between 4D Flow MRI and CFD requires careful data processing and artifact reduction.
  • Validated methodologies can enable both PC-MRI (Phase-Contrast MRI) and CFD to provide reliable and correlated hemodynamic information.
  • This study demonstrates the potential for synergistic use of PC-MRI and CFD in well-controlled environments for accurate flow quantification.