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Updated: Mar 8, 2026

Doppler Optical Coherence Tomography of Retinal Circulation

Doppler Optical Coherence Tomography of Retinal Circulation

Published on: September 18, 2012

Detection of Doppler Microembolic Signals Using High Order Statistics.

Maroun Geryes¹, Sebastien Ménigot², Walid Hassan³

¹Université François Rabelais de Tours, UMR Imagerie et Cerveau Inserm U930, Tours, France; Department of Physics and Electronics, Faculty of Sciences I, Lebanese University, Beirut, Lebanon.

Computational and Mathematical Methods in Medicine

|January 19, 2017

Summary

This summary is machine-generated.

Detecting tiny cerebral microemboli prevents strokes. New methods using skewness and kurtosis signal analysis show improved detection accuracy over standard Doppler ultrasound techniques.

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Area of Science:

Biomedical Engineering
Medical Ultrasound
Signal Processing

Background:

Stroke prevention relies on detecting small cerebral microemboli.
Transcranial Doppler ultrasound is a common detection method, but relies on empirical thresholds.
Higher-order statistics offer potential for improved signal outlier detection.

Purpose of the Study:

To develop novel microembolic detectors using higher-order statistics.
To evaluate the performance of skewness and kurtosis in detecting microemboli.

Main Methods:

Windowed calculation of the third moment (skewness) and fourth moment (kurtosis) of Doppler energy signals.
Analysis of real-world ultrasound signals containing microemboli.

Main Results:

Skewness and kurtosis signals exhibited peaks during emboli presence, unlike embolus-free periods.
The proposed detectors demonstrated superior performance compared to standard threshold methods.
Sensitivities and specificities reached up to 80% and 91% for skewness and kurtosis detectors.

Conclusions:

Skewness and kurtosis analysis provide a robust method for detecting cerebral microemboli.
These higher-order statistical methods offer enhanced sensitivity and specificity for microemboli detection.
Improved microemboli detection can significantly contribute to stroke prevention strategies.