Improved determination of the myelin water fraction in human brain using magnetic resonance imaging through Bayesian analysis of mcDESPOT

NeuroImage

Volumn 127, Issue , 2016, Pages 456-471

  Bouhrara, Mustapha ^a   Spencer, Richard G ^a  

^a NATIONAL INSTITUTE ON AGING   (United States)

Author keywords

Bayesian analysis; Brain; mcDESPOT; Myelin water fraction; Nonlinear least squares; Stochastic region contraction algorithm

Indexed keywords

ADULT; ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN MAPPING; FEMALE; HUMAN; INTERMETHOD COMPARISON; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; MONTE CARLO METHOD; MULTICOMPONENT DRIVEN EQUILIBRIUM SINGLE PULSE OBSERVATION OF T1 AND T2; MYELIN WATER FRACTION; MYELINATION; NEUROIMAGING; NONLINEAR LEAST SQUARES; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIGNAL NOISE RATIO; SIGNAL PROCESSING; STOCHASTIC REGION CONTRACTION ALGORITHM; YOUNG ADULT; BRAIN CHEMISTRY; CHEMISTRY; IMAGE PROCESSING; MYELIN SHEATH; PROCEDURES;

WATER;

ALGORITHMS; BAYES THEOREM; BRAIN CHEMISTRY; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MONTE CARLO METHOD; MYELIN SHEATH; WATER; YOUNG ADULT;

EID: 84960795950     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.10.034     Document Type: Article

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