Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/23652
Title: | Atherosclerotic plaque motion analysis from ultrasound videos |
Authors: | Murillo, Sergio Pattichis, Marios S. Loizou, Christos P. Pattichis, Constantinos S. Kyriacou, Efthyvoulos C. Constantinides, Anthony George Nicolaides, Andrew N. |
Major Field of Science: | Engineering and Technology |
Field Category: | Medical Engineering |
Λέξεις-κλειδιά: | Motion analysis;Ultrasonic imaging;Motion estimation;Image motion analysis;Adaptive optics;Plaque motion models;Computational modeling;Trajectory estimation |
Ημερομηνία Έκδοσης: | 7-May-2007 |
Πηγή: | Fortieth Asilomar Conference on Signals, Systems and Computers, 2006, 29 October-1 November, Pacific Grove, CA, USA |
Start page: | 836 |
End page: | 840 |
Conference: | Fortieth Asilomar Conference on Signals, Systems and Computers |
Abstract: | In this paper, we describe a collection of algorithms that are used to provide motion trajectory estimates from atherosclerotic plaque ultrasound videos. Our approach is based on the use of four different optical flow methods to estimate motion vectors (Horn and Schunk, Lucas, Nagel and Uras). To estimate the optimal motion estimation parameters, we perform hundreds of experiments on a Linux cluster, and further validate the results using synthetic simulations. Following motion estimation, we compute pixel motion trajectories over the plaque regions and vessel walls. Pixel trajectories are then used to assess plaque deformation. |
URI: | https://hdl.handle.net/20.500.14279/23652 |
ISBN: | 1-4244-0785-0 |
DOI: | 10.1109/ACSSC.2006.354867 |
Rights: | © IEEE |
Type: | Conference Papers |
Affiliation: | University of New Mexico Intercollege University of Cyprus Cyprus Institute of Neurology and Genetics Imperial College London Vascular Screening and Diagnostic Centre |
Publication Type: | Peer Reviewed |
Εμφανίζεται στις συλλογές: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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