Automatic cerebrovascular segmentation by accurate probabilistic modeling of TOF-MRA images

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

Volumn 3749 LNCS, Issue , 2005, Pages 34-42

  El Baz, Ayman ^a   Farag, Aly A ^a   Gimel'farb, Georgy ^b   Hushek, Stephen G ^c  

^a University of Louisville   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c Norton Hospital   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANGIOGRAPHY; BLOOD VESSELS; BRAIN; MEDICAL IMAGING; NEUROLOGY; PROBABILISTIC LOGICS; PROBABILITY DISTRIBUTIONS;

EXPECTATION-MAXIMIZATION (EM); LINEAR COMBINATION OF DISCRETE GAUSSIANS (LCDG); PHASE CONTRAST (PC); VOXEL INTENSITIES;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BRAIN; BRAIN CIRCULATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; MAGNETIC RESONANCE ANGIOGRAPHY; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING; VALIDATION STUDY; VASCULARIZATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRAIN; CEREBROVASCULAR CIRCULATION; COMPUTER SIMULATION; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE ANGIOGRAPHY; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33744826576     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_5     Document Type: Conference Paper

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