Three-Dimensional Ultrasound Matrix Imaging

Ultrasound data associated to the paper "Three-Dimensional Ultrasound Matrix Imaging", Nature Communications, 2023. 

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Abstract : "Matrix imaging paves the way towards a next revolution in wave imaging.
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 lim-
ited with ultrasonic waves because wave control is generally only performed
with a linear array of transducers. In this paper, we extend ultrasound ma-
trix 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 trans-
ducer 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."

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Data corresponding to the pork tissue experiment: 
- Raw data: "1_PorkChop_on_Phantom.mat" [Fig. 1, 2, 3 and Supplementary Fig. S3, S4, S5]
- Focused reflection matrix (after beamforming): "1bis_PorkChop_on_Phantom_Focused_reflection_Matrix_Rdrr.mat" 

Raw data corresponding to the head phantom experiment: 
- "2_HeadPhantom_position1.mat" [Fig. 4 & 5, S6, S7]
- "2_HeadPhantom_position2.mat" [Fig. 6]

Raw data corresponding to the tissue mimicking phantom without aberrations: 
- "4_Phantom_withtout_aberrations.mat" [supplementary Fig. S8]

In each case : 
- "rfr" contains the raw ultrasound data;
- "p" is a structure that contains all the parameters used during acquisition.