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Related Experiment Video

Updated: Jul 3, 2026

Ultrasonic Assessment of Myocardial Microstructure

Ultrasonic Assessment of Myocardial Microstructure

Published on: January 14, 2014

Ultrasound attenuation estimation using backscattered echoes from multiple sources.

Timothy A Bigelow¹

¹Department of Electrical Engineering, University of North Dakota, PO Box 7165, Grand Forks, ND 58202, USA. timothybigelow@mail.und.nodak.edu

The Journal of the Acoustical Society of America

|August 7, 2008

Summary

This summary is machine-generated.

This study developed a new algorithm to accurately estimate ultrasound wave attenuation in tissues using backscattered echoes. The method determines total attenuation independent of scatterer properties by analyzing frequency shifts from multiple sources.

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Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Evaluating Targeting Accuracy in the Focal Plane for an Ultrasound-guided High-intensity Focused Ultrasound Phased-array System

Published on: March 6, 2019

Area of Science:

Medical Imaging
Biomedical Ultrasound
Acoustic Characterization

Background:

Accurate estimation of ultrasound attenuation is crucial for quantitative medical imaging.
Current methods often struggle to decouple attenuation from scatterer properties.

Purpose of the Study:

To develop and validate an algorithm for precise estimation of ultrasound propagation path attenuation.
To determine total attenuation independent of scatterer correlation length.

Main Methods:

Utilized the frequency downshift of backscattered ultrasound echoes relative to source center frequency.
Developed a method analyzing frequency shifts from multiple sources with varying center frequencies.
Verified the algorithm using computer simulations of ultrasound propagation in simulated tissues.

Main Results:

The algorithm accurately estimated tissue attenuation across a range of values (0.1 to 0.9 dB/cm-MHz).
Errors in attenuation estimation were low, particularly at higher attenuation values (-7.0+/-3.1% at 0.9 dB/cm-MHz).
Demonstrated independence from scatterer correlation length.

Conclusions:

The developed algorithm accurately determines ultrasound attenuation using backscattered echoes.
This method offers a robust approach for quantitative ultrasound imaging.
Provides a new tool for non-invasive tissue characterization.