Longitudinal tractography with application to neuronal fiber trajectory reconstruction in neonates

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6892 LNCS, Issue PART 2, 2011, Pages 66-73

  Yap, Pew Thian ^a   Gilmore, John H ^b   Lin, Weili ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF NORTH CAROLINA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN MODEL; DIFFUSION WEIGHTED IMAGES; LIKELIHOOD FUNCTIONS; LOCAL FIBER ORIENTATION; LOCAL ORIENTATIONS; LOW SNR; MULTIPLE ORIENTATIONS; NEURONAL FIBERS; POSTERIOR PROBABILITY; PRIOR INFORMATION; RELIABLE ESTIMATES; SMOOTH TRANSITIONS; STATE-SPACE MODELS; TRACTOGRAPHY; TRAJECTORY RECONSTRUCTION;

BAYESIAN NETWORKS; MEDICAL COMPUTING; MEDICAL IMAGING; PEDIATRICS; PROBABILITY DISTRIBUTIONS;

FIBERS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; DIFFUSION TENSOR IMAGING; HUMAN; IMAGE PROCESSING; METHODOLOGY; MYELINATED NERVE; NEWBORN; PATHOLOGY; REPRODUCIBILITY; STATISTICAL MODEL;

ALGORITHMS; COMPUTER GRAPHICS; DIFFUSION TENSOR IMAGING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; INFANT, NEWBORN; LIKELIHOOD FUNCTIONS; MODELS, STATISTICAL; NERVE FIBERS, MYELINATED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 80053467984     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23629-7_9     Document Type: Conference Paper

References (6)

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