Disentangling micro from mesostructure by diffusion MRI: A Bayesian approach

NeuroImage

Volumn 147, Issue , 2017, Pages 964-975

  Reisert, Marco ^a   Kellner, Elias ^a   Dhital, Bibek ^a   Hennig, Jürgen ^a   Kiselev, Valerij G ^a  

^a UNIVERSITY OF FREIBURG   (Germany)

Author keywords

Axonal density; Diffusion MRI; Microstructural parameters; Microstructure imaging; Multi shell dMRI; White matter

Indexed keywords

ARTICLE; BAYES THEOREM; BRAIN CELL; BRAIN TISSUE; CELL STRUCTURE; CONTROLLED STUDY; DIFFUSION WEIGHTED IMAGING; HUMAN; HUMAN EXPERIMENT; IMAGING; MACHINE LEARNING; MICROSCOPY; NERVE FIBER; NEUROIMAGING; NORMAL HUMAN; ADULT; BIOLOGICAL MODEL; DIAGNOSTIC IMAGING; IMAGE PROCESSING; NEURITE; PROCEDURES; STANDARDS; WHITE MATTER;

ADULT; BAYES THEOREM; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, NEUROLOGICAL; NEURITES; WHITE MATTER;

EID: 85006124877     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2016.09.058     Document Type: Article

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