Investigation of pulsatile flowfield in healthy thoracic aorta models

Chih-Yung Wen1, An-Shik Yang, Li-Yu Tseng

  • 1Department of Aeronautics and Astronautics, National Cheng-Kung University, No. 1 University Road, Tainan City 701, Taiwan, R.O.C. cywen@mail.ncku.edu.tw

Insights

This study used advanced imaging and computational fluid dynamics to analyze blood flow in the aorta. Findings link complex hemodynamics, wall shear stress, and pressure patterns to aortic dissection and atherosclerosis development.

Area of Science:

  • Cardiovascular Science
  • Biomedical Engineering
  • Fluid Mechanics

Background:

  • Cardiovascular diseases are a leading cause of death globally.
  • Complex blood flow dynamics (hemodynamics) are implicated in aortic disorders like dissection and atherosclerosis.
  • Understanding blood flow mechanics is crucial for cardiovascular health.

Purpose of the Study:

  • To investigate the relationship between hemodynamics, wall shear stress (WSS), and pressure in the human thoracic aorta.
  • To correlate these factors with the development of aortic dissection and atherosclerosis.
  • To analyze the oscillatory shear index (OSI) and its role in aortic wall changes.

Main Methods:

  • Acquired thoracic aorta geometry using Phase-Contrast Magnetic Resonance Imaging (PC-MRI).
  • Created a transparent aorta model for in vitro experiments and rapid prototyping (RP).
  • Employed Computational Fluid Dynamics (CFD) with ACE+((R)) for simulating pulsatile, incompressible blood flow.
  • Validated CFD results against PC-MRI data for axial velocity.

Main Results:

  • Detailed analysis of thoracic aorta flow characteristics, WSS, OSI, and wall pressures.
  • Identified correlations between high WSS/pressure locations and thoracic aorta dissection sites.
  • Observed low WSS and high OSI associated with wall thickening in specific aortic regions.

Conclusions:

  • The study provides insights into the biomechanical factors contributing to aortic dissection.
  • Hemodynamic parameters like WSS and OSI are significant indicators for predicting aortic disorders.
  • Findings support the link between altered blood flow and pathological changes in the aorta.