Background, Motivation and Objective Acoustoelasticity theory (AET) describes propagation of shear wave (SW) in uniaxially stressed medium and allows to retrieve nonlinear (NL) elastic coefficients of tissues. Regarding clinical diagnosis, studies showed that NL response of material’s during mechanical tests is useful for the diagnostic of cancerou...
IntroductionRabbits are routinely used as a natural model of fetal growth restriction (FGR); however, no studies have confirmed that rabbits have FGR. This study aimed to characterize the fetoplacental unit (FPU) in healthy pregnant rabbits using diffusion-weighted MRI and stereology. A secondary objective of the study was to describe the associati...
This article proposes a generic framework to process jointly the spatial and spectral information of hyperspectral images. First, sub-images are extracted. Then each of these sub-images follows two parallel workflows, one dedicated to the extraction of spatial features and the other dedicated to the extraction of spectral features. Finally, the ext...
Published in Physics in Medicine & Biology
Objectives. Numerous optical biomedical imaging or therapeutic modalities suffer from unknown light fluence distribution at depths. Photoacoustic (PA) imaging, which enables imaging blood vessels at the acoustic resolution, probes the product between the fluence and effective optical absorption that depends on the size or density of blood vessels. ...
Published in Investigative radiology
Kidney diseases significantly impact individuals' quality of life and strongly reduce life expectancy. Glomeruli play a crucial role in kidney function. Current imaging techniques cannot visualize them due to their small size. Sensing ultrasound localization microscopy (sULM) has shown promising results for visualizing in vivo the glomeruli of huma...
Published in Transplant International
International audience
This work aims at exploiting the unique myelin specificity of the inhomogeneous Magnetization Transfer (ihMT) technique to characterize the recovery dynamics of active MS lesions. IhMT and three other myelin-sensitive techniques, conventional MT, T1-weighted and diffusion tensor imaging, were applied in a 12-month longitudinal study performed on re...
Analyzing volumetric data with rotational invariance or equivariance is an active topic in current research. Existing deep-learning approaches utilize either group convolutional networks limited to discrete rotations or steerable convolutional networks with constrained filter structures. This work proposes a novel equivariant neural network archite...
We tested the ability of multiphoton microscopy (MPM) devices to produce label-free images of the virus Sars-Cov-2 responsible for the Covid global health crisis of the years 2020-2022. The virion cultures were grown in our high-security virology laboratory and then optically inactivated so as to preserve the integrity of the virus without its cont...
