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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.

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

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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