Fully Automatic Plaque Segmentation in 3-D Carotid Ultrasound Images

Ultrasound in Medicine and Biology

Volumn 39, Issue 12, 2013, Pages 2431-2446

  Cheng, Jieyu ^a   Li, He ^a   Xiao, Feng ^a   Fenster, Aaron ^b   Zhang, Xuming ^a   He, Xiaoling ^c   Li, Ling ^d   Ding, Mingyue ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b ROBARTS RESEARCH INSTITUTE   (Canada)

^c Hospital of China University of Geosciences   (China)

^d HUBEI UNIVERSITY   (China)

Author keywords

3 D ultrasound; Carotid plaque; Level set; Segmentation

Indexed keywords

ALGORITHMS; DISEASES; ULTRASONICS;

3-D ULTRASOUND; ALGORITHM ACCURACIES; AUTOMATIC SEGMENTATIONS; CAROTID PLAQUES; COMMON CAROTID ARTERY; CORRELATION COEFFICIENT; LEVEL SET; STRUCTURE INFORMATION;

IMAGE SEGMENTATION;

ACCURACY; ADVENTITIA; ALGORITHM; ARTERY INTIMA; ARTICLE; AUTOMATION; CARDIOVASCULAR PARAMETERS; CAROTID ATHEROSCLEROSIS; CLINICAL ARTICLE; CLINICAL PRACTICE; COMMON CAROTID ARTERY; DISEASE COURSE; HUMAN; IMAGE QUALITY; INTERMETHOD COMPARISON; PRIORITY JOURNAL; REMISSION; THREE DIMENSIONAL ECHOCARDIOGRAPHY; TOTAL PLAQUE VOLUME;

3-D ULTRASOUND; CAROTID PLAQUE; LEVEL SET; SEGMENTATION;

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

EID: 84887826286     PISSN: 03015629     EISSN: 1879291X     Source Type: Journal    
DOI: 10.1016/j.ultrasmedbio.2013.07.007     Document Type: Article

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