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

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.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0028-DC8A-D Version Permalink: http://hdl.handle.net/21.11116/0000-0003-19DD-9
Genre: Journal Article

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 Creators:
Tardif, Christine1, Author              
Schäfer, Andreas2, Author              
Trampel, Robert2, Author              
Villringer, Arno1, Author              
Turner, Robert3, Author              
Bazin, Pierre-Louis1, 2, Author              
Affiliations:
1Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634549              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, Leipzig, DE, ou_2205649              
3Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634550              

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Free keywords: Data repository; High-resolution imaging; Magnetic resonance imaging; Quantitative imaging; Relaxometry; Ultra-high field
 Abstract: 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.

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Language(s): eng - English
 Dates: 2015-08-152015-08-252016-01-01
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1016/j.neuroimage.2015.08.042
PMID: 26318051
Other: Epub 2015
 Degree: -

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Title: NeuroImage
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 124 (Part B) Sequence Number: - Start / End Page: 1143 - 1148 Identifier: ISSN: 1053-8119
CoNE: https://pure.mpg.de/cone/journals/resource/954922650166