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Résumé : With high field MRI at 7 Tesla and above, the boundaries of macro- and micro-architecture in images of the brain are starting to converge. This new level of detail and advanced MRI techniques bring multiple new challenges for neuroimage processing. I will present as a concrete example the framework we developed to segment efficiently the human brain at a resolution of 400µm and beyond. | Résumé : With high field MRI at 7 Tesla and above, the boundaries of macro- and micro-architecture in images of the brain are starting to converge. This new level of detail and advanced MRI techniques bring multiple new challenges for neuroimage processing. I will present as a concrete example the framework we developed to segment efficiently the human brain at a resolution of 400µm and beyond. | ||
| − | [[Média:bazin20140318.pdf | + | [[Média:bazin20140318.pdf|Présentation (PDF, 39,5 Mo)]] |
Version actuelle datée du 20 mars 2014 à 17:58
jeudi 20 mars 2014, 14h00, C218
Ultra-high resolution: some neuroimage computing challenges and solutions
Conférencier : Pierre-Louis Bazin (Max Planck Institute)
Résumé : With high field MRI at 7 Tesla and above, the boundaries of macro- and micro-architecture in images of the brain are starting to converge. This new level of detail and advanced MRI techniques bring multiple new challenges for neuroimage processing. I will present as a concrete example the framework we developed to segment efficiently the human brain at a resolution of 400µm and beyond.