Automatic 3D segmentation of intravascular ultrasound images using region and contour information

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

Volumn 3749 LNCS, Issue , 2005, Pages 319-326

  Cardinal, Marie Hélène Roy ^a   Meunier, Jean ^b   Soulez, Gilles ^a   Maurice, Roch L ^a   Thérasse, Éric ^a   Cloutier, Guy ^a  

^a CENTRE HOSPITALIER DE L UNIVERSITÉ DE MONTRÉAL   (Canada)

^b UNIVERSITÉ DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; ULTRASONIC IMAGING;

ARTERIES; INTRAVASCULAR ULTRASOUND (IVUS); LUMEN;

BLOOD VESSELS;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BLOOD VESSEL; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; ENDOSCOPIC ECHOGRAPHY; EVALUATION; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL ECHOCARDIOGRAPHY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BLOOD VESSELS; ECHOCARDIOGRAPHY, THREE-DIMENSIONAL; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY, INTERVENTIONAL;

EID: 33744813032     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11566465_40     Document Type: Conference Paper

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