Automatic detection of the carotid artery boundary on cross-sectional MR image sequences using a circle model guided dynamic programming

BioMedical Engineering Online

Volumn 10, Issue , 2011, Pages

  Cheng, Da Chuan ^a   Billich, Christian ^b   Liu, Shing Hong ^c   Brunner, Horst ^b   Qiu, Yi Chen ^a   Shen, Yu Lin ^a   Brambs, Hans J ^b   Schmidt Trucksäss, Arno ^d   Schütz, Uwe H W ^b  

^a CHINA MEDICAL UNIVERSITY   (Taiwan)

^b UNIVERSITY HOSPITAL ULM   (Germany)

^c CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

^d UNIVERSITY OF BASEL   (Switzerland)

Author keywords

[No Author keywords available]

Indexed keywords

ARTERIAL WALL; AUTOMATED ALGORITHMS; AUTOMATED SYSTEMS; AUTOMATIC DETECTION; BLOOD FLOW; BOUNDARY IDENTIFICATION; CAROTID ARTERY; COMMON CAROTID ARTERY; CONTRAST RESOLUTION; CROSS SECTIONAL AREA; DEGRADED IMAGES; ERROR RANGE; FUNCTIONAL CHANGES; MANUAL TRACING; MR IMAGES; MRI SEQUENCES; POSITION DETECTION; POSITIVE EFFECTS; PRECISE MEASUREMENTS; RAW IMAGES; SECOND PHASE; SIZE AND SHAPE; WALL SHEAR STRESS;

AUTOMATION; ENDOTHELIAL CELLS; HOUGH TRANSFORMS; MAGNETIC RESONANCE IMAGING; NITRIC OXIDE; SHEAR FLOW; SYSTEM STABILITY; TISSUE;

DYNAMIC PROGRAMMING;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CAROTID ARTERY OBSTRUCTION; COMMON CAROTID ARTERY; ECHOCARDIOGRAPHY; ECHOGRAPHY; HUMAN; IMAGE PROCESSING; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING;

ALGORITHMS; CAROTID ARTERY, COMMON; CAROTID STENOSIS; ECHOCARDIOGRAPHY; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, CARDIOVASCULAR;

EID: 79953731159     PISSN: 1475925X     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-10-26     Document Type: Article

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