An automated method for lumen and media-adventitia border detection in a sequence of IVUS frames

IEEE Transactions on Information Technology in Biomedicine

Volumn 8, Issue 2, 2004, Pages 131-141

  Plissiti, Marina E ^a   Fotiadis, Dimitrios I ^a,b   Michalis, Lampros K ^c,d   Bozios, George E ^c  

^a UNIVERSITY OF IOANNINA   (Greece)

^b INSTITUTE OF COMPUTER SCIENCE   (Greece)

^c UNIVERSITY OF IOANNINA   (Greece)

^d Michailideion Cardiology Center   (Greece)

Author keywords

Deformable models; Image segmentation; Intravascular ultrasound (IVUS)

Indexed keywords

CARDIOVASCULAR SYSTEM; IMAGE QUALITY; NEURAL NETWORKS; SIMULATED ANNEALING; STATISTICAL METHODS; ULTRASONIC IMAGING;

BOUNDARY CORRECTION SCHEMAS; HOPFIELD NEURAL NETWORK; IMAGE PATTERN; INTRAVASCULAR ULTRASOUND FRAMES;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; CALCINOSIS; CLINICAL TRIAL; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; ENDOSCOPIC ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

ALGORITHMS; CALCINOSIS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 3042688724     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2004.828889     Document Type: Article

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