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JUNO SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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 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.

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

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.
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surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
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 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

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