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MARie Curie Intelligent UltraSound

Total Cost €


EC-Contrib. €






 MARCIUS project word cloud

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

simulation    setting    harmful    model    training    takes    speed    trained    beneficiary    reducing    improvements    leverage    algorithms    diagnostic    cvd    mathematical    doubling    neural    interpretation    cardiac    disciplinary    normal    discomfort    data    myocardial    cardiovascular    performed    learning    accuracy    calling    added    patients    circulatory    combination    recognize    validated    regional    healthcare    societally    diseases    texture    outcome    tool    reporting    benefit    care    unsuited    automatic    ing    clinically    pathophysiology    disease    marcius    image    advancing    time    min    imaging    death    longer    industrial    clinical    function    contraction    patient    machine    train    network    technologies    cardiologists    augmented    radiation    skills    risk    virtual    commercially    algorithm    intelligent    heart    suffering    echocardiography    progress    patterns    context    examination    cross    cardiology    database    ultrasound   

Project "MARCIUS" data sheet

The following table provides information about the project.


Organization address
city: HORTEN
postcode: 3191

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 Norway [NO]
 Total cost 1˙628˙564 €
 EC max contribution 1˙628˙564 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2019
 Funding Scheme MSCA-ITN-EID
 Starting year 2019
 Duration (year-month-day) from 2019-10-01   to  2023-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    GE VINGMED ULTRASOUND AS NO (HORTEN) coordinator 584˙684.00


 Project objective

Cardiovascular diseases (CVD) are the number one cause of death in EU. Echocardiography is the most important imaging tool to assess cardiac function, since it is real time, cost effective and can be performed without discomfort and harmful radiation. A typical cardiac ultrasound examination takes 30-40 min, with image analysis and reporting doubling this time. Thus, cardiologists are now calling for a step change in diagnostic speed and accuracy to allow significant improvements for the care of CVD patients. We propose to develop intelligent algorithms to provide diagnostic support by automatic interpretation of regional cardiac contraction patterns and myocardial image texture. MARCIUS will leverage recent progress in machine learning to train a neural network to recognize unique disease states using a large database of patient data with known pathophysiology and outcome augmented with virtual patient data obtained using a well-validated mathematical model of the heart and circulatory system in combination with a beyond the state-of-the-art ultrasound simulation tool. The resulting diagnostic algorithm will be validated clinically. MARCIUS will take on research activities with high added value, both clinically for patients suffering from cardiac diseases, commercially for the industrial beneficiary and societally with reducing healthcare costs. The long-term and high-risk aspect of these activities makes them unsuited for execution within a normal product development context. Through training and knowledge development in a focused research project built on a unique combination of state-of-the-art technologies, MARCIUS will provide Europe with researchers trained with the cross-disciplinary understanding and skills necessary to develop enabling technologies in an industrial and clinical setting. The longer-term outcome of the project is new products, which will benefit patients across Europe directly by advancing the state of care within cardiology.

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

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