Opendata, web and dolomites
  1. home
  2. trasparenza
  3. open h2020
  4. juno

JUNO SIGNED

Joint Volumetric Reconstruction and Automated Analysis of the Fetal Heart from Cardiovascular Magnetic Resonance Images

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0
 Outcomes and results

 JUNO project word cloud

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

clinical    potentially    identification    time    cardiovascular    juno    feasibility    goals    causes    automated    made    worldwide    administration    restriction    mortality    magnetic    limited    therapy    planning    cmr    recent    quantitative    these    structures    tool    acquired    ejection    volume    segmentation    intervention    operator    unfortunately    fraction    first    perinatal    datasets    limitations    stroke    imaging    accurate    vessels    dynamic    structural    thanks    iugr    extraction    super    noninvasive    chds    tackling    methodology    evaluation    healthy    models    deformable    groundbreaking    static    qualitative    registration    capability    single    advancements    induces    resolution    remodeling    volumetric    utero    heart    congenital    contours    boundaries    fundamental    detection    acquisitions    reconstruction    dependent    fact    innovative    outcomes    image    infant    diseases    diagnosis    acquisition    resonance    atlases    techniques    vivo    slice    functional    postnatal    ventricular    fetuses    fetal    intrauterine   

Project "JUNO" data sheet

The following table provides information about the project.

Coordinator		 IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE 

Organization address
address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ
website: http://www.imperial.ac.uk/

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 United Kingdom [UK]
 Project website https://www.doc.ic.ac.uk/
 Total cost 183˙454 €
 EC max contribution 183˙454 € (100%)
 Programme 1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility)
 Code Call H2020-MSCA-IF-2014
 Funding Scheme MSCA-IF-EF-ST
 Starting year 2015
 Duration (year-month-day) from 2015-11-16   to  2017-11-15

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE UK (LONDON) coordinator 183˙454.00

Map

 Project objective

Recent advancements in cardiovascular magnetic resonance (CMR) have finally made possible static and dynamic in-vivo imaging of the fetal heart. This new capability has the potential to provide a fundamental new tool for structural and functional assessment of the fetal cardiovascular system, with groundbreaking clinical consequences. In fact, congenital heart diseases (CHDs) and intrauterine growth restriction (IUGR, which induces cardiovascular remodeling) are among the leading causes of infant mortality worldwide. Fetal CMR imaging may potentially allow more accurate diagnosis of these conditions, and thus improve postnatal outcomes thanks to better in-utero therapy administration, delivery and perinatal intervention planning. Unfortunately, fetal CMR is currently limited to the acquisition of a single slice in time, allowing only qualitative and operator-dependent evaluation of the fetal heart. The JUNO project aims at improving the present capabilities of fetal CMR by tackling its limitations with an image processing approach. The specific goals are (1) development of a method for super resolution volumetric reconstruction of the fetal heart, using image registration techniques applied to a set of single-slice acquisitions; (2) development of automated segmentation methods, based on deformable models and atlases, for the identification of structures such as ventricular contours and main vessels’ boundaries; (3) extraction of quantitative functional parameters (e.g. stroke volume and ejection fraction) from datasets acquired from healthy, CHDs- and IUGR-affected fetuses, to test the feasibility of objective detection of these conditions. By achieving these goals, JUNO will provide an innovative set of methods allowing for the first time quantitative, noninvasive, functional assessment of the fetal cardiovascular system, and thus address a long standing clinical need for such methodology.

 Publications

year authors and title journal last update
List of publications.
2017 W Bai, O Oktay, M Sinclair, H Suzuki, M Rajchl, G Tarroni, B Glocker, A King, PM Matthews, D Rueckert
Semi-supervised Learning for Network-Based Cardiac MR Image Segmentation
published pages: 253-260, ISSN: , DOI: 		Medical Image Computing and Computer-Assisted Intervention (MICCAI), LNCS 10434 2019-06-13
2017 G Tarroni, O Oktay, A Schuh, W Bai, A de Marvao, D O\'Regan, S Cook, D Rueckert
Slice Realignment for Motion-Corrupted Stacks of Short-Axis Cine Cardiac MR Images based on 3D Probabilistic Edge Maps
published pages: , ISSN: , DOI: 		Proc. Intl. Soc. Mag. Reson. Med. 25 2019-06-13
2017 G Tarroni, O Oktay, W Bai, A Schuh, H Suzuki, J Passerat-Palmbach, B Glocker, A de Marvao, D O\'Regan, S Cook, D Rueckert
Learning-Based Heart Coverage Estimation for Short-Axis Cine Cardiac MR Images
published pages: 73-82, ISSN: , DOI: 		Functional Imaging and Modelling of the Heart (FIMH), LNCS 10263 2019-06-13

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "JUNO" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.1.3.2.)

CYBERSECURITY (2018)

Cyber Security Behaviours

Read More  

RipGEESE (2020)

Identifying the ripples of gene regulation evolution in the evolution of gene sequences to determine when animal nervous systems evolved

Read More  

POLINGO (2018)

The Politics of Legitimacy: Non-partisan global governance and networked INGO power in the global governance of post-war states

Read More