Automated detection of the carotid artery wall in longitudinal B-mode images using active contours initialized by the Hough transform

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2011, Pages 571-574

  Matsakou, A I ^a   Golemati, S ^b   Stoitsis, J S ^a   Nikita, K S ^a  

^a NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

^b UNIVERSITY OF ATHENS MEDICAL SCHOOL   (Greece)

Author keywords

B mode ultrasound; Carotid artery wall; Gradient vector flow snake; Hough transform; Segmentation

Indexed keywords

ACTIVE CONTOURS; ARTERIAL WALL; AUTOMATED DETECTION; AUTOMATED SEGMENTATION; B-MODE IMAGES; B-MODE ULTRASOUND IMAGES; CAROTID ARTERY; CONTOUR DETECTION; DIAMETER MEASUREMENT; GRADIENT VECTOR FLOW; GRADIENT VECTOR FLOW SNAKES; IMAGE EDGE; SEGMENTATION METHODS; ULTRASOUND IMAGES;

DEFORMATION; HOUGH TRANSFORMS; ULTRASONIC APPLICATIONS; ULTRASONICS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CAROTID ARTERY; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CAROTID ARTERIES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; ULTRASONOGRAPHY;

EID: 84055212330     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2011.6090106     Document Type: Conference Paper

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