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Quantitative Surgical Guidance for Colorectal Surgery using Endogenous Molecular Contrast

Total Cost €


EC-Contrib. €






 QuantSURG project word cloud

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

undergoing    tissue    compatible    successful    longstanding    deoxy    morbidity    ground    limits    endogenous    deeply    hypothesis    technologies    near    travels    differentiate    disparities    mainly    healthy    molecular    removed    quantitative    interacts    time    models    infrared    ischemia    dependent    despite    touch    unacceptable    lipids    senses    professionals    tissues    assist    onto    surgery    patients    exist    amenable    animal    device    oxygenation    rate    living    feedback    underlying    first    rates    recurrence    tools    hemoglobin    fabricated    water    diseased    constituents    medical    ing    clinical    perfusion    status    vision    rely    cancer    correlation    push    hydration    contrast    bowel    histological    human    guidance    turn    care    surgical    metabolism    colorectal    video    breaking    surgeon    oxy    imaging    light    surgeons    translated    regarding    quality    subjective    hospitals    theory    healthcare    view    clinically   

Project "QuantSURG" data sheet

The following table provides information about the project.


Organization address
postcode: 67081

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]
 Project website
 Total cost 1˙584˙250 €
 EC max contribution 1˙584˙250 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-STG
 Funding Scheme ERC-STG
 Starting year 2017
 Duration (year-month-day) from 2017-02-01   to  2022-01-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITE DE STRASBOURG FR (STRASBOURG) coordinator 1˙584˙250.00


 Project objective

Despite significant advances in medical imaging technologies, there currently exist no tools to effectively assist healthcare professionals during colorectal surgery. Surgeons mainly rely on their own senses, vision and touch to identify diseased tissue that should be removed or healthy tissue that should be avoided. In turn, surgery remains subjective and dependent on the experience of the surgeon, resulting in unacceptable failure, recurrence and morbidity rates, as well as in significant quality of care disparities across hospitals.

The hypothesis underlying our study is that near-infrared light travels deeply into living tissues and interacts with endogenous molecular constituents, namely oxy- and deoxy-hemoglobin, water and lipids, providing key information regarding tissue perfusion, oxygenation, hydration and metabolism. In turn, such information can be used to differentiate diseased from healthy tissue. We recently introduced a novel concept that enables the quantitative imaging of endogenous molecular information over large fields-of-view. Because this concept can be implemented in real-time, it is amenable to provide video-rate endogenous information during colorectal surgery.

In this study, we propose to push the limits of this concept by developing ground-breaking theory & technology, and creating a novel surgical guidance device capable of real-time imaging of key endogenous information for colorectal surgery. Correlation between endogenous contrast measurements and histological tissue status will be investigated onto bowel ischemia and colorectal cancer animal models. Finally, a clinically-compatible imaging device will be fabricated and translated into a first-in-human study in patients undergoing colorectal surgery. If successful, this study has the potential to solve a longstanding clinical problem by providing real-time objective feedback during colorectal surgery.


year authors and title journal last update
List of publications.
2017 Joseph P. Angelo, Martijn van de Giessen, Sylvain Gioux
Real-time endoscopic optical properties imaging
published pages: 5113, ISSN: 2156-7085, DOI: 10.1364/BOE.8.005113
Biomedical Optics Express 8/11 2019-11-20
2019 Enagnon Aguénounon, Foudil Dadouche
Single snapshot of optical properties image quality improvement using anisotropic two-dimensional windows filtering
published pages: 1, ISSN: 1083-3668, DOI: 10.1117/1.jbo.24.7.071611
Journal of Biomedical Optics 24/07 2019-11-20
2019 Enagnon Aguénounon, Foudil Dadouche, Wilfried Uhring, Sylvain Gioux
Real-time optical properties and oxygenation imaging using custom parallel processing in the spatial frequency domain
published pages: 3916, ISSN: 2156-7085, DOI: 10.1364/boe.10.003916
Biomedical Optics Express 10/8 2019-11-20
2019 Sylvain Gioux, Amaan Mazhar, David J. Cuccia
Spatial frequency domain imaging in 2019: principles, applications, and perspectives
published pages: 1, ISSN: 1083-3668, DOI: 10.1117/1.jbo.24.7.071613
Journal of Biomedical Optics 24/07 2019-11-20
2019 Swapnesh Panigrahi, Sylvain Gioux
Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging
published pages: 1, ISSN: 1083-3668, DOI: 10.1117/1.jbo.24.7.071606
Journal of Biomedical Optics 24/07 2019-11-20
2019 Joseph P. Angelo, Sez-Jade Chen, Marien Ochoa, Ulas Sunar, Sylvain Gioux, Xavier Intes
Review of structured light in diffuse optical imaging
published pages: 1, ISSN: 1083-3668, DOI: 10.1117/1.jbo.24.7.071602
Journal of Biomedical Optics 24/07 2019-11-20
2019 Manon Schmidt, Enagnon Aguénounon, Amir Nahas, Murielle Torregrossa, Bruce J. Tromberg, Wilfried Uhring, Sylvain Gioux
Real-time, wide-field, and quantitative oxygenation imaging using spatiotemporal modulation of light
published pages: 1, ISSN: 1083-3668, DOI: 10.1117/1.jbo.24.7.071610
Journal of Biomedical Optics 24/07 2019-11-20
2019 Enagnon Aguénounon, Foudil Dadouche, Wilfried Uhring, Nicolas Ducros, Sylvain Gioux
Single snapshot imaging of optical properties using a single-pixel camera: a simulation study
published pages: 1, ISSN: 1083-3668, DOI: 10.1117/1.jbo.24.7.071612
Journal of Biomedical Optics 24/07 2019-11-20

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