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Author Spotlight: A Stable Phantom Material for Optical and Acoustic Imaging

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Sound Speed Estimation for Distributed Aberration Correction in Laterally Varying Media.

Rehman Ali¹, Trevor M Mitcham¹, Melanie Singh²

¹Department of Imaging Sciences, University of Rochester Medical Center, Rochester, NY, USA.

IEEE Transactions on Computational Imaging

|November 24, 2023

Summary

This summary is machine-generated.

This study introduces an iterative method to correct sound speed variations in ultrasound imaging, significantly improving image resolution and lesion contrast in phantoms and in-vivo experiments.

Keywords:

Aberration Correction Fourier Split-Step Medical Ultrasound Migration Velocity Analysis Ray Tomography

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Area of Science:

Medical Imaging
Ultrasound Technology
Computational Physics

Background:

Spatial sound speed variations cause image aberration in medical ultrasound.
Previous correction methods were limited to layered media, failing to address lateral variations.
Lateral sound speed variations significantly impact image quality.

Purpose of the Study:

To develop an iterative sound speed estimation and aberration correction technique.
To model and correct aberrations caused by laterally varying media.
To improve practical implementations of aberration correction in ultrasound.

Main Methods:

Adapted a Fourier split-step migration technique from geophysics.
Implemented an iterative sound speed estimation and distributed aberration correction.
Validated the approach using simulations, phantom, and in-vivo experiments.

Main Results:

Point target resolution improved up to 4x in phantom experiments.
Lesion contrast improved up to 10.0 dB in phantom experiments.
Demonstrated capability in simulations and in-vivo settings.

Conclusions:

The iterative technique effectively corrects aberrations from laterally varying sound speeds.
This method enhances image quality beyond previous limitations.
Offers improved resolution and contrast for medical ultrasound imaging.