Supporting data for "Nighres: Processing tools for high-resolution neuroimaging"

Dataset type: Software, Neuroscience, Imaging
Data released on July 03, 2018

Huntenburg JM; Steele CJ; Bazin PL (2018): Supporting data for "Nighres: Processing tools for high-resolution neuroimaging" GigaScience Database. http://dx.doi.org/10.5524/100469

DOI10.5524/100469

With recent improvements in 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 ┬Ám 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.





Sample IDTaxonomic IDCommon NameGenbank NameScientific NameSample Attributes
sub_0019606HumanhumanHomo sapiens Description:MRI image data of a single human subje...
Common name:human
Tissue:brain
...
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Displaying 1-1 of 1 Sample(s).




File NameSample IDData TypeFile FormatSizeRelease Date 
GitHub archivearchive12.17 MB2018-06-12
ReadmeTEXT2.1 KB2018-06-12
imageNIFTI43.06 MB2018-06-12
imageNIFTI22.95 MB2018-06-12
imageNIFTI40.05 MB2018-06-12
Displaying 1-5 of 5 File(s).
Funding body Awardee Award ID Comments
Google JM Huntenburg Google Summer of Code 2017
Date Action
July 3, 2018 Dataset publish