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Reflection-mode acousto-optic imaging using a one-dimensional ultrasound array with electronically scanned focus.

Lukasz J Nowak¹, Wiendelt Steenbergen¹

¹University of Twente, Faculty of Science and Technology, Biomedical Photonic Imaging Group, Enschede, The Netherlands.

Journal of Biomedical Optics

|September 5, 2020

Summary

Reflection-mode acousto-optic imaging (AOI) using electronically scanned ultrasound (US) focus can detect and locate light-absorbing inclusions in turbid media. Signal processing is key for accurate localization in this challenging reflection-mode AOI approach.

Keywords:

acousto-optic imaging electronic focus scanning reflection mode ultrasound linear array

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Area of Science:

Biomedical Optics
Acousto-Optics
Medical Imaging

Background:

Acousto-optic imaging (AOI) faces clinical adoption challenges due to access limitations and infeasible water coupling.
Reflection-mode AOI with electronically scanned ultrasound (US) focus offers a potential solution for single-sided access.
This approach presents significant technical challenges for practical implementation.

Purpose of the Study:

Investigate the detection and localization of light-absorbing inclusions in turbid media using reflection-mode AOI.
Employ a one-dimensional US array with electronic US focus scanning.
Introduce and evaluate signal processing algorithms for this imaging modality.

Main Methods:

Experimentally determine speckle contrast decrease as a function of US focal point coordinates.
Analyze the impact of acousto-optic effect on speckle contrast.
Investigate various signal postprocessing techniques.

Main Results:

A significant decrease in speckle contrast indicates the presence of light-absorbing inclusions.
Accurate localization of inclusions is achieved by analyzing local minima under specific conditions.
Subtracting distributions and assessing symmetry deviations enable precise localization.

Conclusions:

The developed reflection-mode AOI approach enables detection and localization of optically distinct regions.
Signal postprocessing is generally required for robust detection and localization.
This method offers a promising advancement for AOI in challenging clinical scenarios.