Paper awarded as winner of the Student Paper Contest Abstract: Ultrasound Contrast Agents (UCA) are widely used for the diagnosis of cardiovascular diseases. They typically consist of shell encapsulated microbubbles which, when injected in blood, increase the blood/tissue ratio in ultrasound medical images. Characterizing the behavior of microbubbles hit by US energy, is important to optimize their performance in clinical applications. In this paper, the movement of microbubbles pushed away from US probes by the radiation force is considered. A simple experimental set-up is used to obtain M-mode images in which each microbubble describes a trace of variable brightness position and slope.
Detection of microbubble trajectories on M-mode images using Kalman filtering / S.Balocco; O.Basset; F.Guidi; P.Tortoli; C.Cachard. - STAMPA. - 2:(2006), pp. 569-572. (Intervento presentato al convegno IEEE Int. Conf on Acoustics Speech and Signal processing tenutosi a Toulouse, Fr nel May 2006) [10.1109/ICASSP.2006.1660406].
Detection of microbubble trajectories on M-mode images using Kalman filtering
GUIDI, FRANCESCO;TORTOLI, PIERO;
2006
Abstract
Paper awarded as winner of the Student Paper Contest Abstract: Ultrasound Contrast Agents (UCA) are widely used for the diagnosis of cardiovascular diseases. They typically consist of shell encapsulated microbubbles which, when injected in blood, increase the blood/tissue ratio in ultrasound medical images. Characterizing the behavior of microbubbles hit by US energy, is important to optimize their performance in clinical applications. In this paper, the movement of microbubbles pushed away from US probes by the radiation force is considered. A simple experimental set-up is used to obtain M-mode images in which each microbubble describes a trace of variable brightness position and slope.
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