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Related Experiment Video

Updated: May 11, 2026

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Imaging and Quantification of the Area of Fast-Moving Microbubbles Using a High-Speed Camera and Image Analysis

Published on: September 5, 2020

Phase shift variance imaging - a new technique for destructive microbubble imaging.

Monica Siepmann¹, Stanley Fokong, Martin Mienkina

¹Department of Medical Engineering, Ruhr-Universitat Bochum, Bochum, Germany.

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

|May 11, 2013

Summary

This summary is machine-generated.

This study introduces a new ultrasound method to detect microbubble contrast agents by analyzing phase shift variance. The technique effectively distinguishes agents from tissue and motion, even with nonlinear propagation, achieving over 97% separation.

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Area of Science:

Ultrasound imaging
Biomedical engineering
Medical physics

Background:

Microbubble contrast agents enhance ultrasound imaging.
Current detection methods rely on nonlinear responses, which are affected by nonlinear sound propagation.
Microbubble destruction offers an alternative detection mechanism.

Purpose of the Study:

To propose a novel criterion for microbubble destruction detection.
To develop a processing strategy for distinguishing contrast agents from other structures using multi-pulse sequences.
To enable robust contrast agent detection even in the presence of nonlinear propagation and echogenic tissues.

Main Methods:

A novel criterion based on the variance of phase shift in consecutive echoes is proposed.
A processing strategy using multi-pulse sequences (similar to Doppler imaging) is developed.
Phantom experiments were conducted using 20 pulses at 9.5 MHz with specific pressure and pulse repetition frequency.

Main Results:

The method achieved uniform rejection of background tissue signals.
Contrast enhancement exceeding 40 dB was maintained.
An area under the receiver operating characteristics (ROC) curve greater than 97% demonstrated excellent separation of contrast agent and tissue signals.

Conclusions:

The proposed phase shift variance criterion effectively detects microbubble destruction.
The technique allows for robust tissue rejection and distinction from motion, even with nonlinear propagation.
This method shows promise for contrast-enhanced ultrasound and as a step towards molecular imaging.