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Related Experiment Video

Updated: Aug 11, 2025

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom

Particle Image Velocimetry Investigation of Hemodynamics via Aortic Phantom

Published on: February 25, 2022

Full waveform inversion for arterial viscoelasticity.

Tuhin Roy¹, Murthy N Guddati¹

¹North Carolina State University, Raleigh, NC, United States of America.

Physics in Medicine and Biology

|February 8, 2023

Summary

This summary is machine-generated.

This study introduces a novel full waveform inversion (FWI) method to estimate arterial viscoelasticity using shear wave elastography (SWE). The approach accurately measures both arterial elasticity and viscosity, improving arterial health assessment.

Keywords:

arterial stiffness cross-correlation guided waves semi-analytical finite element method shear wave elastography

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Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Intravascular Ultrasound Image-Based Finite Element Modeling Approach for Quantifying In Vivo Mechanical Properties of Human Coronary Artery

Published on: December 6, 2024

Area of Science:

Biomedical Engineering
Cardiovascular Research
Medical Imaging

Background:

Arterial elasticity is a key biomarker, but arterial viscosity is also emerging as crucial.
Current shear wave elastography (SWE) methods are more sensitive to elasticity than viscosity.

Purpose of the Study:

To develop and validate a new method for estimating arterial viscoelasticity.
To simultaneously measure arterial elasticity and viscosity using SWE.

Main Methods:

A full waveform inversion (FWI) methodology was developed.
The FWI method directly matches predicted and measured arterial wall velocity in space and time.
An objective function was minimized using gradient optimization to invert for elasticity and viscosity.

Main Results:

The developed objective function is generally convex, enabling effective gradient optimization.
The FWI methodology was successfully verified using noisy synthetic data.
The proposed FWI method effectively estimates arterial viscoelasticity.

Conclusions:

Accurate estimation of arterial viscoelasticity offers a more precise characterization of arterial mechanical properties.
This improved characterization can serve as a better indicator of arterial health.
The FWI approach provides a robust tool for assessing arterial viscoelasticity.