Probabilistic inference on Q-ball imaging data

IEEE Transactions on Medical Imaging

Volumn 26, Issue 11, 2007, Pages 1515-1524

  Fonteijn, Hubert M J ^a,b   Verstraten, Frans A J ^a   Norris, David G ^b  

^a UTRECHT UNIVERSITY   (Netherlands)

^b RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

Author keywords

Bayesian analysis; Crossing fibres; Diffusion imaging; Q ball imaging

Indexed keywords

BRAIN; DIFFUSION; DISTRIBUTION FUNCTIONS; HARMONIC ANALYSIS; MAGNETIC RESONANCE IMAGING; MICROSTRUCTURE; PROBABILITY; TENSORS;

BALL ORIENTATION DISTRIBUTION FUNCTIONS; BAYESIAN ANALYSIS; CROSSING FIBRES; SPHERICAL HARMONICS DECOMPOSITION;

MEDICAL IMAGING;

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION WEIGHTED IMAGING; FEMALE; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; MYELINATED NERVE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

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

EID: 35648986677     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.907297     Document Type: Article

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