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13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00)
Real-Time Extraction of Carotid Artery Contours from Ultrasound Images
Houston, Texas
June 23-June 24
ISBN: 0-7695-0484-1
P. Abolmaesumi, University of British Columbia
M.R. Sirouspour, University of British Columbia
S.E. Salcudean, University of British Columbia
This paper presents the development of a novel, fully automatic tracking and segmentation system to extract the boundary of the carotid artery from ultrasound images in real-time. The center of the carotid artery is tracked by using the Star algorithm. The stability of the Star algorithm has been improved by using a temporal Kalman filter. A spatial Kalman filter is used to estimate the carotid artery boundary. Since the method does not employ any numerical optimization, convergence is very fast. The stability and accuracy of the method is demonstrated by tracking the carotid artery over a 30 second sequence of ultrasound images taken during a carotid artery examination. An application of the tracking method to ultrasound image servoing is also presented.
Citation:
P. Abolmaesumi, M.R. Sirouspour, S.E. Salcudean, "Real-Time Extraction of Carotid Artery Contours from Ultrasound Images," cbms, pp.181, 13th IEEE Symposium on Computer-Based Medical Systems (CBMS'00), 2000
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