2D/3D ultrafast imaging and motion estimation

I developed a strong expertise in instrumentation and sequence design to provide ultrafast imaging with either 2D or 3D system [Applied Sciences 2018]. Such advanced acquisitions and associated post-processing allow then to product high quality images and advanced post-processing strategies as optimized beamforming [IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2021], optimal 3D sparse array design [Scientific reports 2018] or 3D transverse oscillations [IEEE International Ultrasonics Symposium 2019].
Results of advanced 3D post-processing algorithm for motion compensation (left) and 3D vector flow imaging (right).

Cardiac coherence imaging

Recently, I try to image the micro-orgnisation of the heart muscle in ultrasound imaging with the framework of LabEx PRIMES. Indeed, I previously developed strategy in synchrotron radiation phase contrast micro-tomography (SR-PCT) at an isotropic 3.5 µm resolution [MedIA 2017]. In ultrasound, the whole acquisition pipeline and post-processing is different and based on the local coherence of the raw ultrasound signals [IEEE International Ultrasonics Symposium 2019]. To this end, we extend the initial strategy to evaluate the full 3D local angle of the fibre [IEEE International Ultrasonics Symposium 2019]. The final objective is to compare such measure to diffusion magnetic resonance imaging.
Proposed formalism for 3D coherence evaluation and obtained tractography on homemade phantom.

Cavitation imaging

In collaboration with the LabTau and within the framework of LabEx CeLyA, we developed advances beamforming strategies to image the cavitation map produced during treatment. The beamforming strategy are based on adaptive measurement as phase coherence factor [IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2018] or on robust CSM estimation for advanced array processing beamforming (robust capon, Pisarenko class beamformer or MUSIC) in the Fourier domain [IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2020]. Currently, such developments are extended in 3D.
Experimental localization for the two cavitation spots on the two wires immersed in the filtered water. (left) Dynamic cavitation maps obatinaed with FD-RCB algorithm and (right) representative position in time for FD-PAM; FD-RCB, FD-VB and FD-MUSIC.

Photoacoustic imaging

Since my recruitment in 2013, I am developing activities in photoacoustic imaging in either system development [Photoacoustics 2017], array design [Optical Express 2020] or in post-processing algorithm for multispectral imaging [EURASIP Journal on Advances in Signal 2018, Sensors 2021]. Then, based on this expertise, applications on photothermal complexes have been evaluated for bioimaging [Langmuir 2019].
Resulting maps for the two datasets and the different desired applications using spectral fitting (SF), intra-class correlation (ICC), and the spatio-spectral mean-shift (SSM-S) algorithm.