Bayesian analysis of transverse signal decay with application to human brain

Magnetic Resonance in Medicine

Volumn 74, Issue 3, 2015, Pages 785-802

  Bouhrara, Mustapha ^a   Reiter, David A ^a   Spencer, Richard G ^a,b  

^a NATIONAL INSTITUTE ON AGING   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

accuracy; Bayesian probability; brain; nonlinear least squares algorithm; precision; Rician noise; transverse relaxation

Indexed keywords

BAYESIAN NETWORKS; BIOMEDICAL SIGNAL PROCESSING; BRAIN; IMAGE ENHANCEMENT; LEAST SQUARES APPROXIMATIONS; MAGNETIC RESONANCE IMAGING; PARAMETER ESTIMATION; PHANTOMS; QUALITY CONTROL; SIGNAL ANALYSIS;

ACCURACY; BAYESIAN PROBABILITIES; NON-LINEAR LEAST SQUARES ALGORITHMS; PRECISION; RICIAN NOISE; TRANSVERSE RELAXATION;

SIGNAL TO NOISE RATIO;

ADULT; ALGORITHM; ARTICLE; BAYES THEOREM; HUMAN; MALE; MEASUREMENT ACCURACY; MEASUREMENT PRECISION; NEUROIMAGING; NOISE; NONLINEAR LEAST SQUARES ALGORITHM; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PHANTOM; RICIAN NOISE; SIGNAL NOISE RATIO; SIGNAL PROCESSING; TRANSVERSE RELAXATION ANALYSIS; BRAIN; BRAIN MAPPING; IMAGING PHANTOM; LEAST SQUARE ANALYSIS; PHYSIOLOGY; PROCEDURES;

ADULT; BAYES THEOREM; BRAIN; BRAIN MAPPING; HUMANS; LEAST-SQUARES ANALYSIS; MAGNETIC RESONANCE IMAGING; MALE; PHANTOMS, IMAGING; SIGNAL PROCESSING, COMPUTER-ASSISTED; SIGNAL-TO-NOISE RATIO;

EID: 84939474589     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.25457     Document Type: Article

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