Bayesian algorithm using spatial priors for multiexponential T2 relaxometry from multiecho spin echo MRI

Magnetic Resonance in Medicine

Volumn 68, Issue 5, 2012, Pages 1536-1543

  Kumar, Dushyant ^a   Nguyen, Thanh D ^a   Gauthier, Susan A ^a   Raj, Ashish ^a  

^a WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Bayesian; demyelination; myelin water fraction; spatial priors

Indexed keywords

BRAIN; SIGNAL TO NOISE RATIO; SPIN POLARIZATION;

BAYESIAN; COEFFICIENTS OF VARIANCES; CONVENTIONAL APPROACH; DEMYELINATING DISEASE; DEMYELINATION; HIGH SIGNAL-TO-NOISE RATIO; MYELIN WATER FRACTIONS; SPATIAL PRIORS;

INVERSE PROBLEMS;

ADULT; ALGORITHM; ARTICLE; BAYES THEOREM; BRAIN REGION; FEMALE; HUMAN; IMAGE ANALYSIS; MALE; MULTIECHO SPIN ECHO NUCLEAR MAGNETIC RESONANCE IMAGING; MULTIEXPONENTIAL T2 RELAXOMETRY; MYELIN WATER FRACTION; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; RADIOLOGICAL PARAMETERS; THEORY; THREE DIMENSIONAL IMAGING; WHITE MATTER;

EID: 84867885908     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.24170     Document Type: Article

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