Evaluation of Bayesian tensor estimation using tensor coherence

Physics in Medicine and Biology

Volumn 54, Issue 12, 2009, Pages 3785-3802

  Kim, Dae Jin ^a,b   Kim, In Young ^b   Jeong, Seok Oh ^c   Park, Hae Jeong ^a  

^a Yonsei University College of Medicine   (South Korea)

^b Hanyang University   (South Korea)

^c Hankuk University of Foreign Studies   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

A-PRIORI PROBABILITIES; ACCURACY AND PRECISION; BAYESIAN; BAYESIAN ESTIMATIONS; BAYESIAN FRAMEWORKS; CALF MUSCLE; DIFFUSION DIRECTION; DIFFUSION TENSOR; DIFFUSION TENSOR MRI; FIBER BUNDLES; FIBER TRACTOGRAPHY; HUMAN DATA; IMAGE NOISE; IN-VIVO; INERTIA MOMENT; MONTE CARLO SIMULATION; NONINVASIVE METHODS; PROPAGATION DIRECTION; ROBUST ESTIMATION; TENSOR ESTIMATION; TENSOR FIELDS; WHITE MATTER;

BAYESIAN NETWORKS; COMPUTER SIMULATION; DIFFUSION; FIBERS; METHOD OF MOMENTS; MONTE CARLO METHODS; MUSCLE; PROBABILITY DISTRIBUTIONS;

TENSORS;

ARTICLE; BAYES THEOREM; BRAIN; CONTROLLED STUDY; DIFFUSION TENSOR IMAGING; GASTROCNEMIUS MUSCLE; HUMAN; IN VIVO STUDY; INTRARATER RELIABILITY; MONTE CARLO METHOD; PRIORITY JOURNAL; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 70149102246     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/54/12/012     Document Type: Article

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