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Updated: Jun 9, 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

A statistical model for the quantification of microbubbles in destructive imaging.

Monica Siepmann¹, Michael Reinhardt, Georg Schmitz

¹Institute of Medical Engineering, Faculty of Electrical Engineering and Information Technology, Ruhr-University Bochum, Bochum, Germany.

Investigative Radiology

|August 25, 2010

Summary

This study introduces a statistical correction to accurately quantify microbubbles (MBs) in Doppler images, improving molecular imaging precision for endothelial marker expression. The developed formula enhances microbubble quantification without additional cost.

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Area of Science:

Ultrasound imaging
Molecular imaging
Biomedical engineering

Background:

Targeted ultrasound contrast agents enable molecular-level monitoring of endothelial markers.
Doppler imaging visualizes microbubble destruction but struggles with accurate quantification at high concentrations.
Existing methods often yield inaccurate microbubble (MB) concentration estimates due to overlapping destruction events.

Purpose of the Study:

To develop a statistical correction for improved microbubble (MB) concentration estimation from Doppler images.
To provide a mathematical model for microbubble destruction events in Doppler imaging.
To enhance the precision of molecular imaging through accurate microbubble quantification.

Main Methods:

A mathematical model describing microbubble destruction events in Doppler images was developed.

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Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

Published on: June 12, 2021

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Last Updated: Jun 9, 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

Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

Multi-timescale Microscopy Methods for the Characterization of Fluorescently-labeled Microbubbles for Ultrasound-Triggered Drug Release

Published on: June 12, 2021

The model was experimentally validated using gelatin phantoms and a high-resolution Vevo 770 imaging system.

Sensitive Particle Acoustic Quantification (SPAQ) was employed with varying step sizes (32–127 μm) to test the model under high color pixel densities.

Main Results:

The corrected acoustic quantification demonstrated a strong linear correlation (R = 0.95) with microbubble (MB) concentration.
The model proved valid for high color pixel densities, with SPAQ step sizes up to 127 μm.
A microbubble (MB) concentration of 2.7 × 10 MBs/mL was accurately quantified.

Conclusions:

The proposed statistical correction significantly improves the accuracy of microbubble (MB) quantification using Doppler imaging.
The developed mathematical formula enhances the reliability of the SPAQ technique for molecular imaging applications.
This correction is easily integrated into existing SPAQ measurements, offering a cost-effective solution.