Nighres: processing tools for high-resolution neuroimaging

Autor: Pierre-Louis Bazin, Julia M. Huntenburg, Christopher J. Steele
Přispěvatelé: Brain and Cognition, Brein en Cognitie (Psychologie, FMG), Psychology Other Research (FMG), Netherlands Institute for Neuroscience (NIN), Spinoza Centre for Neuroimaging
Jazyk: angličtina
Rok vydání: 2018
Předmět:
0301 basic medicine
Computer science
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Health Informatics
Image processing
Machine learning
computer.software_genre
Online Systems
03 medical and health sciences
0302 clinical medicine
Documentation
Software
Neuroimaging
Computer Systems
Journal Article
Image Processing
Computer-Assisted
Technical Note
Humans
Segmentation
Image resolution
computer.programming_language
Brain Mapping
business.industry
laminar MRI
python Java integration
Brain
ultra-high field MRI
Python (programming language)
Magnetic Resonance Imaging
Toolbox
Computer Science Applications
030104 developmental biology
high-resolution MRI
Programming Languages
Artificial intelligence
business
computer
neuroimaging in python
030217 neurology & neurosurgery
Algorithms
Medical Informatics
Zdroj: GigaScience, 7(7):giy082. Oxford University Press
GigaScience
GigaScience, 7:giy082. BioMed Central
ISSN: 2047-217X
Popis: 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. Dedicated methods are needed to leverage their extraordinary spatial resolution. Here, we introduce a flexible Python toolbox that 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 from other researchers that will help to accelerate progress in the promising field of high-resolution neuroimaging.
Databáze: OpenAIRE
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