Real-time vessel segmentation and tracking for ultrasound imaging applications

IEEE Transactions on Medical Imaging

Volumn 26, Issue 8, 2007, Pages 1079-1090

  Guerrero, Julian ^a,b   Salcudean, Septimiu E ^a,b   McEwen, James A ^a,b   Masri, Bassam A ^b   Nicolaou, Sawakis ^b  

^a IEEE   (Canada)

^b UNIVERSITY OF BRITISH COLUMBIA   (Canada)

Author keywords

Deep venous thrombosis; Image segmentation; Kalman filtering; Ultrasound; Vessel tracking

Indexed keywords

DEEP VENOUS THROMBOSIS; IMAGING APPLICATIONS; VESSEL SEGMENTATION; VESSEL TRACKING;

ALGORITHMS; COMPUTER SIMULATION; KALMAN FILTERS; PARAMETER ESTIMATION; REAL TIME SYSTEMS; ULTRASONIC IMAGING;

IMAGE SEGMENTATION;

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

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

EID: 34547590313     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2007.899180     Document Type: Article

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