| Paper: | IMDSP-P8.1 | ||
| Session: | Biomedical Imaging | ||
| Time: | Wednesday, May 17, 16:30 - 18:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Biomedical Imaging | ||
| Title: | Detection of microbubble trajectories on M-mode images using Kalman filtering | ||
| Authors: | Simone Balocco, CREATIS, Université Claude Bernard Lyon 1, CNRS UMR 5515, INSERM U630, Lyon, France; Olivier Basset, CREATIS, INSA Lyon, CNRS UMR 5515 INSERM U630, Lyon, France; Francesco Guidi, Piero Tortoli, Università di Firenze, Italy; Christian Cachard, CREATIS, Université Claude Bernard Lyon 1, CNRS UMR 5515, INSERM U630, Lyon, France | ||
| Abstract: | Ultrasound Contrast Agents (UCA) are widely used for the diagnosis of cardiovascular diseases. They consist of shell encapsulated microbubbles which, when injected in blood, increase the blood/tissue radio in ultrasound (US) medical images. 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. A Kalman filter model allows an iterative estimation of the instantaneous values of variables such as the bubble position, velocity and acceleration, in a discrete time process. The accuracy of the method has been evaluated on artificial images reporting different phenomena: trace crossing, intensity variation, sudden interruption and different background noise levels. In most cases, the traces have been detected with a mean error lower than one pixel | ||
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