HIRESBRAIN7T

High Resolution Segmentation of Brain MR Images at 7 Teslas

Coordinatore	MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.    more  Organization address address: Hofgartenstrasse 8 city: MUENCHEN postcode: 80539 contact info Titolo: Mr. Nome: Alexander Cognome: Otte Email: send email Telefono: 493414000000 Fax: 493414000000
Nazionalità Coordinatore	Germany [DE]
Totale costo	100˙000 €
EC contributo	100˙000 €
Programma	FP7-PEOPLE Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	FP7-PEOPLE-2010-RG
Funding Scheme	MC-IRG
Anno di inizio	2011
Periodo (anno-mese-giorno)	2011-03-01   -   2015-08-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	MAX PLANCK GESELLSCHAFT ZUR FOERDERUNG DER WISSENSCHAFTEN E.V.  Organization address address: Hofgartenstrasse 8 city: MUENCHEN postcode: 80539 contact info Titolo: Mr. Nome: Alexander Cognome: Otte Email: send email Telefono: 493414000000 Fax: 493414000000	DE (MUENCHEN)	coordinator	100˙000.00

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 Obiettivo del progetto (Objective)

'The advent of magnetic resonance imaging (MRI) technology has brought us closer to understanding brain function in health and disease. With 7 Teslas high field MRI machines, pioneers of imaging physics have made possible in-vivo examination of the human brain at sub-millimetre scale. New imaging contrasts additionally offer rich information regarding tissue organization and composition. While many tools have been developed over the years to process automatically more conventional MRI, currently these new images are largely inspected and annotated by hand. The purpose of this proposal is to develop at the Max Planck Institute for Human Cognitive and Brain Sciences, a center with leading expertise in 7 Teslas MRI and fMRI, a series of innovative tools for automated brain image analysis. The incoming researcher, Dr. Pierre-Louis Bazin, has extensive experience in developing innovative, state-of-the-art image segmentation and analysis tools for brain MR images at 3 Teslas, including fundamental and specialized methods for brain extraction, tissue and structure segmentation, cortical reconstruction, white matter labelling and thalamic parcellation in diffusion-weighted imaging. Many of these tools have been successfully employed in large scale studies of normal aging, multiple sclerosis, Alzheimer's disease and small vessel cardiovascular disease at the Johns Hopkins University and have the potential to translate well to meet the new challenges of ultra-high resolution MRI at 7 Teslas.'