Real-Time Vessel Segmentation and Tracking for Ultrasound Imaging Applications

TitleReal-Time Vessel Segmentation and Tracking for Ultrasound Imaging Applications
Publication TypeJournal Article
Year of Publication2007
AuthorsGuerrero, J., S. E. Salcudean, J. A. McEwen, B. A. Masri, and S. Nicolaou
JournalMedical Imaging, IEEE Transactions on
Volume26
Pagination1079 -1090
Date Publishedaug.
ISSN0278-0062
KeywordsAlgorithms, Artificial Intelligence, Automated, biomedical ultrasonics, blood vessels, Computer Systems, Computer-Assisted, ellipse parameters, elliptical model, expert segmentation, expert tracings, Humans, image enhancement, Image Interpretation, image segmentation, Imaging, Kalman filters, maximum feature dimension, medical image processing, Pattern Recognition, real time vessel segmentation, real time vessel tracking, real-time systems, Reproducibility of Results, segmented contours, Sensitivity and Specificity, sensorized ultrasound probe, simulated ultrasound data, Star-Kalman algorithm, target tracking, temporal Kalman filter, Three-Dimensional, transverse cross sectional vessel area, transverse vessel area, ultrasonic imaging, ultrasound imaging applications, velocity 1.4 mm/s to 11.2 mm/s, vessel center tracking, vessel contour determination
Abstract

A method for vessel segmentation and tracking in ultrasound images using Kalman filters is presented. A modified Star-Kalman algorithm is used to determine vessel contours and ellipse parameters using an extended Kalman filter with an elliptical model. The parameters can be used to easily calculate the transverse vessel area which is of clinical use. A temporal Kalman filter is used for tracking the vessel center over several frames, using location measurements from a handheld sensorized ultrasound probe. The segmentation and tracking have been implemented in real-time and validated using simulated ultrasound data with known features and real data, for which expert segmentation was performed. Results indicate that mean errors between segmented contours and expert tracings are on the order of 1%-2% of the maximum feature dimension, and that the transverse cross-sectional vessel area as computed from estimated ellipse parameters a, b as determined by our algorithm is within 10% of that determined by experts. The location of the vessel center was tracked accurately for a range of speeds from 1.4 to 11.2 mm/s.

URLhttp://dx.doi.org/10.1109/TMI.2007.899180
DOI10.1109/TMI.2007.899180

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