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REflection Matrix ImagiNg In wave SCiENCE

Total Cost €


EC-Contrib. €






 REMINISCENCE project word cloud

Explore the words cloud of the REMINISCENCE project. It provides you a very rough idea of what is the project "REMINISCENCE" about.

probing    degrade    seismology    view    science    overcome    context    formalism    ultrasound    image    emergence    characterizing    monitoring    conventional    generally    events    correlations    revolution    contrast    physics    coherence    plane    zones    sensors    geophysics    ultra    resolution    heterogeneous    aberrations    media    actively    adaptive    biological    volumes    medical    characterization    waves    tomography    universal    volcanoes    actually    fault    tool    reflection    capture    besides    fundamental    aberration    diagnosis    paradigm    advantage    breaking    recording    theory    shift    itself    limits    degraded    nightmare    velocity    direct    distortions    induce    whereas    wave    heterogeneities    network    optics    scattering    unknown    deep    light    reflected    optical    limitations    propagation    constitute    front    tissues    matrix    imaging    data    input    medium    output    perfect    quantification    ultimate    multiple    domains    array    pave    environment    focal   

Project "REMINISCENCE" data sheet

The following table provides information about the project.


Organization address
address: RUE MICHEL ANGE 3
city: PARIS
postcode: 75794

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country France [FR]
 Total cost 1˙999˙705 €
 EC max contribution 1˙999˙705 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-COG
 Funding Scheme ERC-COG
 Starting year 2019
 Duration (year-month-day) from 2019-06-01   to  2024-05-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

In wave imaging, we aim at characterizing an unknown environment by actively probing it and then recording the waves reflected by the medium. It is, for example, the principle of ultrasound imaging, optical coherence tomography for light or reflection seismology in geophysics. However, wave propagation from the sensors to the focal plane is often degraded by the heterogeneities of the medium itself. They can induce wave-front distortions (aberrations) and multiple scattering events that can strongly degrade the resolution and the contrast of the image. Aberration and multiple scattering thus constitute the most fundamental limits for imaging in all domains of wave physics.

However, the emergence of large-scale sensors array and recent advances in data science pave the way towards a next revolution in wave imaging. In that context, I want to develop a universal matrix approach of wave imaging in heterogeneous media. Such a formalism is actually the perfect tool to capture the input-output correlations of the wave-field with a large network of sensors. This matrix approach will allow to overcome aberrations over large imaging volumes, thus breaking the field-of-view limitations of conventional adaptive focusing methods. It will also lead to the following paradigm shift in wave imaging: Whereas multiple scattering is generally seen as a nightmare for imaging, the matrix approach will take advantage of it for ultra-deep imaging. Besides direct imaging applications, this project will also provide a high-resolution tomography of the wave velocity and a promising characterization tool based on multiple scattering quantification. Based on all these advances, the ultimate goal of this project will be to develop an information theory of wave imaging. Throughout this project, I will apply all these concepts both in optics (for in-depth imaging of biological tissues), ultrasound imaging (for medical diagnosis) and seismology (for monitoring of volcanoes and fault zones).

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The information about "REMINISCENCE" are provided by the European Opendata Portal: CORDIS opendata.

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