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Author Spotlight: Noninvasive Cerebral Blood Flow Determination in Human Functional Brain Region for Diagnosis of Neurological Disorders
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A novel, FFT-based one-dimensional blood flow solution method for arterial network.

Igor Sazonov1, Perumal Nithiarasu2

  • 1Biomedical Engineering Group, Zienkiweicz Centre for Computational Engineering, College of Engineering, Swansea University, Bay Campus, Fabian Road, Swansea, SA2 8PP, UK. i.sazonov@swansea.ac.uk.

Biomechanics and Modeling in Mechanobiology
|April 8, 2019
PubMed
Summary
This summary is machine-generated.

We developed a fast, accurate FFT-based method for modeling blood flow in arteries. This approach correctly accounts for vessel friction and nonlinear effects, improving pulse wave analysis in human arterial networks.

Keywords:
1D arterial haemodynamicsFast Fourier transform (FFT)Perturbation methodPulse wave propagation

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Area of Science:

  • Computational fluid dynamics
  • Biomedical engineering
  • Cardiovascular modeling

Background:

  • Accurate blood flow modeling is crucial for understanding cardiovascular diseases.
  • Existing methods struggle with variable arterial properties and nonlinear effects.
  • Incorporating vessel wall friction and pulse wave dynamics remains challenging.

Purpose of the Study:

  • To present a novel FFT-based method for solving blood flow equations in complex arterial networks.
  • To accurately incorporate vessel skin friction and nonlinear effects.
  • To provide a generalized, robust, and fast computational tool for 1D blood flow modeling.

Main Methods:

  • Fast Fourier Transform (FFT)-based numerical method.
  • Womersley solution for accurate vessel skin friction.
  • Novel approximation for nonlinear effect calculations.
  • Automatic generation of algebraic equations for each harmonic.

Main Results:

  • The method accurately captures increasing pulse wave velocity downstream.
  • It effectively models the steepening of the pulse front.
  • Demonstrates appropriate incorporation of convection and diffusion coefficients.
  • Achieves high speed and accuracy in simulations.

Conclusions:

  • The proposed FFT-based method is a fast and accurate tool for 1D blood flow modeling.
  • It effectively handles variable arterial properties and geometrical changes.
  • Suitable for simulating blood flow in human arterial networks, aiding cardiovascular research.