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High Resolution Segmentation of Brain MR Images at 7 Teslas

Ziel

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.

Aufforderung zur Vorschlagseinreichung

FP7-PEOPLE-2010-RG
Andere Projekte für diesen Aufruf anzeigen

Koordinator

MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
EU-Beitrag
€ 100 000,00
Adresse
HOFGARTENSTRASSE 8
80539 Munchen
Deutschland

Auf der Karte ansehen

Region
Bayern Oberbayern München, Kreisfreie Stadt
Aktivitätstyp
Research Organisations
Kontakt Verwaltung
Alexander Otte (Mr.)
Links
Gesamtkosten
Keine Daten