Supporting data for "Nighres: Processing tools for high-resolution neuroimaging"
Dataset type: Software, Imaging, Neuroscience
Data released on July 03, 2018
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 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.
|Sample ID||Taxonomic ID||Common Name||Genbank Name||Scientific Name||Sample Attributes|
|sub_001||9606||Human||human||Homo sapiens|| Description:MRI image data of a single human subje...|
... Description:MRI image data of a single human subject (sub_001) from a high resolution 7-Tesla magnetization prepared two rapid acquisition gradient echoes (MP2RAGE) dataset
Exp-Scan resolution:0.7 mm isotropic