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TRABIT SIGNED

Translational Brain Imaging Training Network

Total Cost €

0

EC-Contrib. €

0

Partnership

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 TRABIT project word cloud

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

medical    decades    scans    wealth    biomedical    reliably    intersectoral    image    interdisciplinary    hospitals    stage    escalate    clinical    optimized    esrs    techniques    daily    gained    burden    network    central    lack    dearth    demonstrating    translating    clinicians    volume    players    software    brings    tomography    resonance    sheer    collections    joint    analyze    innovative    renowned    disseminating    translational    basis    fundamental    quantitative    internationally    rapid    industry    bottleneck    computed    computing    imaging    models    trabit    acquired    experts    disorders    hospital    academia    healthcare    simply    magnetic    environment    computational    contained    unused    effort    patient    generation    combined    data    society    ultrasound    disease    population    training    environments    scientists    true    care    diseases    patients    groups    evaluation    aging    clinic    prototyping    brain    neuroimaging    images    tools    relevance    entrepreneurial    accurately   

Project "TRABIT" data sheet

The following table provides information about the project.

Coordinator
DANMARKS TEKNISKE UNIVERSITET 

Organization address
address: ANKER ENGELUNDSVEJ 1 BYGNING 101 A
city: KGS LYNGBY
postcode: 2800
website: www.dtu.dk

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 Denmark [DK]
 Total cost 3˙938˙655 €
 EC max contribution 3˙938˙655 € (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-ETN
 Starting year 2017
 Duration (year-month-day) from 2017-10-01   to  2021-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    DANMARKS TEKNISKE UNIVERSITET DK (KGS LYNGBY) coordinator 580˙163.00
2    ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE CH (LAUSANNE) participant 530˙453.00
3    ICOMETRIX NV BE (LEUVEN) participant 501˙120.00
4    FRAUNHOFER GESELLSCHAFT ZUR FOERDERUNG DER ANGEWANDTEN FORSCHUNG E.V. DE (MUNCHEN) participant 498˙432.00
5    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) participant 498˙432.00
6    REGION HOVEDSTADEN DK (HILLEROD) participant 290˙081.00
7    KING'S COLLEGE LONDON UK (LONDON) participant 273˙287.00
8    MEDIZINISCHE UNIVERSITAET WIEN AT (WIEN) participant 255˙934.00
9    PHILIPS MEDICAL SYSTEMS NEDERLAND BV NL (BEST) participant 255˙374.00
10    TECHNISCHE UNIVERSITEIT EINDHOVEN NL (EINDHOVEN) participant 255˙374.00
11    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 0.00
12    CENTRE HOSPITALIER UNIVERSITAIRE VAUDOIS CH (LAUSANNE) partner 0.00
13    GENERAL ELECTRIC DEUTSCHLAND HOLDING GMBH DE (FRANKFURT AM MAIN) partner 0.00
14    KLINIKUM RECHTS DER ISAR DER TECHNISCHEN UNIVERSITAT MUNCHEN DE (MUENCHEN) partner 0.00
15    Medical Imaging Research Institute DE (HEIDELBERG) partner 0.00
16    Siemens Healthcare Switzerland AG CH (ZURICH) partner 0.00
17    UNIVERSITAET BREMEN DE (BREMEN) partner 0.00
18    UNIVERSITAIR MEDISCH CENTRUM UTRECHT NL (UTRECHT) partner 0.00
19    UNIVERSITY COLLEGE LONDON HOSPITALSNHS FOUNDATION TRUST UK (LONDON) partner 0.00
20    Ziekenhuis Oost- Limburg BE (GENK) partner 0.00

Map

 Project objective

'Brain diseases account for one third of the overall disease burden in Europe, and their already significant cost to society is expected to further escalate as a result of the aging European population. In recent decades, medical imaging techniques such as computed tomography, ultrasound, and especially magnetic resonance imaging have gained a central role in the clinical management of disorders of the brain. A fundamental bottleneck in translating the wealth of information contained in medical images into optimized patient care is the lack of computational tools to reliably and accurately analyze the available images. Combined with the sheer volume of data acquired on a daily basis, the current dearth of computational tools means that most of the relevant information contained in today's clinical brain scans simply remains unused.

In an interdisciplinary and intersectoral joint effort of computational scientists, clinicians, and the industry in the field of neuroimaging, the 'Translational Brain Imaging Training Network' (TRABIT) aims to provide a new generation of innovative and entrepreneurial early-stage researchers (ESRs) to bring quantitative image computing methods into the clinic, enabling improved healthcare delivery to patients with brain disease. The proposed network brings together internationally leading groups in biomedical image computing; some of Europe's most renowned research hospitals; and important players from the medical imaging industry. Through this network, each of TRABIT's ESRs will have access to the most relevant experts from industry, academia, and hospitals, as well as large collections of clinical neuroimaging data, facilitating the evaluation of the true clinical relevance and impact of the investigated computational methods. A commonly adopted rapid-prototyping software environment will facilitate testing, demonstrating the developed tools in hospital environments, and disseminating the obtained models and methods. '

 Deliverables

List of deliverables.
Transferable skills courses 3-4 Other 2019-10-10 12:56:28
Transferable skills courses 1-2 Other 2019-10-10 12:56:11
Scientific courses 5-8 Other 2019-10-10 12:56:09
Scientific courses 1-4 Other 2019-10-10 12:56:05
Project website Websites, patent fillings, videos etc. 2019-06-14 14:16:31

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

 Publications

year authors and title journal last update
List of publications.
2019 Luca Canalini, Jan Klein, Dorothea Miller, Ron Kikinis
Segmentation-based registration of ultrasound volumes for glioma resection in image-guided neurosurgery
published pages: 1697-1713, ISSN: 1861-6410, DOI: 10.1007/s11548-019-02045-6
International Journal of Computer Assisted Radiology and Surgery 14/10 2019-11-25
2019 Luca Canalini, Jan Klein, Dorothea Miller, Ron Kikinis
Registration of ultrasound volumes based Euclidean distance transform
published pages: , ISSN: , DOI:
Proceedings of LABELS and HAL-MICCAI workshops 2019-11-25
2019 Mikael Agn, Per Munck af Rosenschöld, Oula Puonti, Michael J. Lundemann, Laura Mancini, Anastasia Papadaki, Steffi Thust, John Ashburner, Ian Law, Koen Van Leemput
A modality-adaptive method for segmenting brain tumors and organs-at-risk in radiation therapy planning
published pages: 220-237, ISSN: 1361-8415, DOI: 10.1016/j.media.2019.03.005
Medical Image Analysis 54 2019-11-25
2019 Maria Ines Meyer, Ezequiel de la Rosa, Greg Dudra, Eline Van Vlierberghe, Koen Van Leemput, Diana M. Sima
Harmonization of Brain Volumes from Magnetic Resonance Images ofMultiple Sclerosis Patients Using Image Descriptors
published pages: Pp 51, ISSN: , DOI:
International Journal of MS case Vol 21 2019-11-22
2019 Johannes Paetzold, Suprosanna Shit, Ivan Ezhov, Giles Tetteh, Ali Ertuerk, Bjoern Menze
clDice - a Novel Connectivity-Preserving Loss Function for Vessel Segmentation
published pages: , ISSN: , DOI:
2019-11-22
2019 Suprosanna Shit, Abinav Ravi Venkatakrishnan, Ivan Ezhov, Jana Lipkova, Marie Piraud, Bjoern Menze
Implicit Neural Solver for Time-dependent Linear PDEs with Convergence Guarantee
published pages: , ISSN: , DOI:
Only for book chapters 2019-11-22
2019 A. Zhylka, A. Leemans, J. Pluim, A. De Luca
ESMRMB 2019, 36th Annual Scientific Meeting, Rotterdam, NL, October 3–October 5: Abstracts, Thursday
published pages: 1-105, ISSN: 0968-5243, DOI: 10.1007/s10334-019-00753-3
Magnetic Resonance Materials in Physics, Biology and Medicine 32/S1 2019-11-22

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