Ultrasound matrix imaging for 3D transcranial in vivo localization microscopy
Flavien Bureau, Louise Denis, Antoine Coudert, Mathias Fink, Olivier Couture, and Alexandre Aubry

TL;DR
This paper demonstrates how ultrasound matrix imaging can significantly improve transcranial ultrasound localization microscopy by compensating wave distortions, enabling high-resolution in vivo imaging of deep brain microvessels in sheep.
Contribution
It introduces ultrasound matrix imaging as a novel method to correct wavefront distortions in transcranial ultrasound, enhancing microvascular imaging resolution.
Findings
Wave distortion compensation markedly improves contrast.
High-resolution microvessel imaging achieved in vivo.
Potential for noninvasive brain pathology observation.
Abstract
Transcranial ultrasound imaging is usually limited by skull-induced attenuation and high-order aberrations. By using contrast agents such as microbubbles in combination with ultrafast imaging, not only can the signal-to-noise ratio be improved, but super-resolution images down to the micrometer scale of the brain vessels can also be obtained. However, ultrasound localization microscopy (ULM) remains affected by wavefront distortions that limit the microbubble detection rate and hamper their localization. In this work, we show how ultrasound matrix imaging, which relies on the prior recording of the reflection matrix, can provide a solution to these fundamental issues. As an experimental proof of concept, an in vivo reconstruction of deep brain microvessels is performed on three anesthetized sheep. The compensation of wave distortions is shown to markedly enhance the contrast and…
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