Bayesian tracking of tubular structures and its application to carotid arteries in CTA

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

Volumn 4792 LNCS, Issue PART 2, 2007, Pages 562-570

  Schaap, Michiel ^a   Manniesing, Rashindra ^a   Smal, Ihor ^a   Van Walsum, Theo ^a   Van Lugt, Aad Der ^a   Niessen, Wiro ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

Author keywords

Bayesian tracking; Bhattacharrya metric; Carotid arteries; Elongated structures

Indexed keywords

BAYESIAN NETWORKS; BLOOD VESSELS; BONE; IMAGE SEGMENTATION; MEDICAL IMAGING; PROBLEM SOLVING;

BAYESIAN TRACKING; BHATTACHARRYA METRIC; CAROTID ARTERIES; ELONGATED STRUCTURES; TUBULAR STRUCTURES;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BAYES THEOREM; BRAIN ANGIOGRAPHY; CAROTID ARTERY DISEASE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CAROTID ARTERY DISEASES; CEREBRAL ANGIOGRAPHY; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79551689947     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75759-7_68     Document Type: Conference Paper

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