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.
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Field of science
- /natural sciences/computer and information sciences/software
- /engineering and technology/medical engineering/diagnostic imaging/computed tomography
- /engineering and technology/medical engineering/diagnostic imaging/magnetic resonance imaging
- /natural sciences/physical sciences/acoustics/ultrasound
- /medical and health sciences/basic medicine/neurology/multiple sclerosis
Programme(s)
Call for proposal
H2020-MSCA-ITN-2017
See other projects for this call
Funding Scheme
MSCA-ITN-ETN - European Training NetworksCoordinator
2800 Kgs Lyngby
Denmark
Participants (10)
1015 Lausanne
Participation ended
WC1E 6BT London
1090 Wien
3012 Leuven
5684 PC Best
80686 Munchen
3400 Hillerod
80333 Muenchen
5612 AE Eindhoven
WC2R 2LS London
Partners (9)
Zurich
60313 Frankfurt Am Main
1011 Lausanne
NW1 2PG London
3584 CX Utrecht
69115 Heidelberg
28359 Bremen
Genk
81675 Muenchen