Open Science CBS Neuroimaging Repository: Sharing ultra-high-field MR images of 
the brain

Tardif, Christine; Schäfer, Andreas; Trampel, Robert; Villringer, Arno; Turner, Robert; Bazin, Pierre-Louis

doi:10.1016/j.neuroimage.2015.08.042

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Open Science CBS Neuroimaging Repository: Sharing ultra-high-field MR images of the brain

MPS-Authors

/persons/resource/persons49466

Tardif, Christine
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons19963

Schäfer, Andreas
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons20053

Trampel, Robert
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons20065

Villringer, Arno
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons20055

Turner, Robert
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

/persons/resource/persons23475

Bazin, Pierre-Louis
Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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引用

Tardif, C., Schäfer, A., Trampel, R., Villringer, A., Turner, R., & Bazin, P.-L. (2016). Open Science CBS Neuroimaging Repository: Sharing ultra-high-field MR images of the brain. NeuroImage, 124(Part B), 1143-1148. doi:10.1016/j.neuroimage.2015.08.042.

引用: https://hdl.handle.net/11858/00-001M-0000-0028-DC8A-D

要旨

Magnetic resonance imaging at ultra high field opens the door to quantitative brain imaging at sub-millimeter isotropic resolutions. However, novel image processing tools to analyze these new rich datasets are lacking. In this article, we introduce the Open Science CBS Neuroimaging Repository: a unique repository of high-resolution and quantitative images acquired at 7T. The motivation for this project is to increase interest for high-resolution and quantitative imaging and stimulate the development of image processing tools developed specifically for high-field data. Our growing repository currently includes datasets from MP2RAGE and multi-echo FLASH sequences from 28 and 20 healthy subjects respectively. These datasets represent the current state-of-the-art in in-vivo relaxometry at 7T, and are now fully available to the entire neuroimaging community.