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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.

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

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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