A Bayesian approach for stochastic white matter tractography

IEEE Transactions on Medical Imaging

Volumn 25, Issue 8, 2006, Pages 965-978

  Friman, Ola ^a   Farnebäck, Gunnar ^a   Westin, Carl Fredrik ^a  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

Author keywords

Bayesian modeling; Diffusion tensor magnetic resonance imaging (DT MRI); Fiber tracking; Magnetic resonance imaging (MRI); Probabilistic tracking; Uncertainty

Indexed keywords

ACOUSTIC NOISE; BRAIN; DIFFUSION; MAGNETIC RESONANCE IMAGING; TENSORS; UNCERTAIN SYSTEMS; WATER;

BAYESIAN MODELING; DIFFUSION TENSOR-MAGNETIC RESONANCE IMAGING (DT-MRI); FIBER TRACKING; PROBABILISTIC TRACKING; UNCERTAINTY;

STOCHASTIC CONTROL SYSTEMS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BIOLOGICAL MODEL; BRAIN; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; CYTOLOGY; DIFFUSION WEIGHTED IMAGING; EVALUATION; HUMAN; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; MYELINATED NERVE; NERVE TRACT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS; THREE DIMENSIONAL IMAGING; ULTRASTRUCTURE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BRAIN; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; INFORMATION STORAGE AND RETRIEVAL; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; NEURAL PATHWAYS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; STOCHASTIC PROCESSES;

EID: 33746862970     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2006.877093     Document Type: Article

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