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Nighres: Processing tools for high-resolution neuroimaging

MPS-Authors
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Huntenburg,  Julia M.
Max Planck Research Group Neuroanatomy and Connectivity, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
External Organizations;

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Steele,  Christopher
External Organizations;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Bazin,  Pierre-Louis
External Organizations;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Department Neurophysics, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Huntenburg_2018.pdf
(Preprint), 761KB

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Citation

Huntenburg, J. M., Steele, C., & Bazin, P.-L. (2018). Nighres: Processing tools for high-resolution neuroimaging. GigaScience, 7(7): giy082. doi:10.1093/gigascience/giy082.


Cite as: https://hdl.handle.net/21.11116/0000-0001-BF08-0
Abstract
With recent improvements in human magnetic resonance imaging (MRI) at ultra-high fields, the amount of data collected per subject in a given MRI experiment has increased considerably. Standard image processing packages are often challenged by the size of these data and dedicated methods are needed to leverage their extraordinary spatial resolution. Here we introduce a flexible Python toolbox which implements a set of advanced techniques for high-resolution neuroimaging. With these tools, segmentation and laminar analysis of cortical MRI data can be performed at resolutions up to 500 μm in reasonable times. Comprehensive online documentation makes the toolbox easy to use and install. An extensive developer’s guide encourages contributions of other researchers that will help to accelerate progress in the promising field of high-resolution neuroimaging.