Three-dimensional ultrasound matrix imaging

Flavien Bureau, Justine Robin, Arthur Ber, William Lambert, Mathias Fink and Alexandre Aubry ()
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Flavien Bureau: PSL University, CNRS
Justine Robin: PSL University, CNRS
Arthur Ber: PSL University, CNRS
William Lambert: PSL University, CNRS
Mathias Fink: PSL University, CNRS
Alexandre Aubry: PSL University, CNRS

Nature Communications, 2023, vol. 14, issue 1, 1-13

Abstract: Abstract Matrix imaging paves the way towards a next revolution in wave physics. Based on the response matrix recorded between a set of sensors, it enables an optimized compensation of aberration phenomena and multiple scattering events that usually drastically hinder the focusing process in heterogeneous media. Although it gave rise to spectacular results in optical microscopy or seismic imaging, the success of matrix imaging has been so far relatively limited with ultrasonic waves because wave control is generally only performed with a linear array of transducers. In this paper, we extend ultrasound matrix imaging to a 3D geometry. Switching from a 1D to a 2D probe enables a much sharper estimation of the transmission matrix that links each transducer and each medium voxel. Here, we first present an experimental proof of concept on a tissue-mimicking phantom through ex-vivo tissues and then, show the potential of 3D matrix imaging for transcranial applications.

Date: 2023
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DOI: 10.1038/s41467-023-42338-8

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