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OpenGTN SIGNED

Open Ground Truth Training Network : Magnetic resonance image simulationfor training and validation of image analysis algorithms

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 OpenGTN project word cloud

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

computer    enabled    segmentations    disease    follow    medical    quantification    reference    assisted    supervisors    diagnosis    lack    eindhoven    innovative    too    kings    diseases    education    coached    techniques    groups    simulation    action    global    benchmarking    image    substantial    segmentation    world    public    impeded    mathematical    combining    sound    neurodegenerative    cumbersome    models    spine    training    anatomy    classification    imaging    mr    centers    accurate    tedious    philips    quantitative    ample    modality    barriers    assignments    german    pathology    resonance    overcome    university    physics    manual    plans    college    biomarkers    images    ground    young    esp    clear    leader    performed    biological    career    utrecht    automatic    fast    truth    databases    mri    brain    algorithms    daily    optimization    umc    trend    components    tu    prepare    exact    validation    physical    clinical    variability    visual    organ    optimally    tissue    london    interdisciplinary    center    munich    inter    magnetic   

Project "OpenGTN" data sheet

The following table provides information about the project.

Coordinator		 TECHNISCHE UNIVERSITEIT EINDHOVEN 

Organization address
address: GROENE LOPER 3
city: EINDHOVEN
postcode: 5612 AE
website: www.tue.nl/en

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 Netherlands [NL]
 Total cost 766˙122 €
 EC max contribution 766˙122 € (100%)
 Programme 1. H2020-EU.1.3.1. (Fostering new skills by means of excellent initial training of researchers)
 Code Call H2020-MSCA-ITN-2017
 Funding Scheme MSCA-ITN-EID
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2021-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) coordinator 766˙122.00
2    Philips GmbH DE (Hamburg) participant 0.00

Map

 Project objective

This action aims to optimally prepare three young researchers for the evolving medical imaging world by offering a unique set of targeted interdisciplinary training and research assignments in the areas of anatomy, pathology, imaging techniques, quantitative image analysis and segmentation, Magnetic Resonance (MR) physics and MR image simulation. MR imaging is the major imaging modality for brain and spine anatomy and pathology. A clear trend can be observed from visual to computer-assisted diagnosis by quantification of disease-specific biomarkers, derived from the MR images. The major components in image quantification applications are tissue and organ segmentation and classification. Manual segmentation is too tedious and cumbersome for daily clinical practice and would lead to large inter-user variability. Much research is therefore performed on automatic segmentation techniques. Training, validation and benchmarking of these techniques is currently impeded by the lack of MR image databases with exact reference segmentations. The research will follow an innovative approach to overcome the current barriers for wide uptake of automatic segmentation. By combining mathematical organ models with physical and biological tissue properties and image simulation methods, substantial public image databases will be established providing ample MR images with ground truth (exact) segmentations, by which fast and accurate optimization and validation of image segmentation algorithms will be enabled. Based on sound career development plans, and coached by experienced supervisors a training is offered by leading image analysis research groups from Philips (global leader in medical imaging) and the Eindhoven University of Technology (world-wide recognized authority in education and research on image analysis, esp. on MRI) and supported by researchers from leading clinical centers as UMC Utrecht, TU Munich, Kings College London and the German Center for Neurodegenerative Diseases.

 Deliverables

List of deliverables.
D1.1 Anatomical reference models & for brain, heart & spine Documents, reports 2020-03-11 14:39:21

Take a look to the deliverables list in detail:  detailed list of OpenGTN deliverables.

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

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