Automatic phasing of MR images. Part I: Linearly varying phase

Journal of Magnetic Resonance

Volumn 191, Issue 2, 2008, Pages 184-192

  Larry Bretthorst, G ^a  

^a WASHINGTON UNIVERSITY   (United States)

Author keywords

Absorption mode images; Bayesian probability theory; Frequency estimation; Zero and first order phase estimation

Indexed keywords

ABSORPTION; BAYESIAN NETWORKS; MAGNETIC RESONANCE IMAGING; PHASE MEASUREMENT; PROBABILITY DISTRIBUTIONS;

ABSORPTION-MODE IMAGES; BAYESIAN PROBABILITY THEORY; FIRST-ORDER PHASE ESTIMATION;

IMAGE ANALYSIS;

ALGORITHM; ANIMAL; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BRAIN; COMPUTER ASSISTED DIAGNOSIS; EVALUATION; HISTOLOGY; IMAGE ENHANCEMENT; METHODOLOGY; MOUSE; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; ARTIFICIAL INTELLIGENCE; BRAIN; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LINEAR MODELS; MAGNETIC RESONANCE IMAGING; MICE; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 40949092727     PISSN: 10907807     EISSN: 10960856     Source Type: Journal    
DOI: 10.1016/j.jmr.2007.12.010     Document Type: Article

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