title: New approach for modelling ultrasound blood backscatter signal.
abstract: The ultrasound (US) scattered signal from blood has been treated as a random signal by many investigators. However, the degree of randomness of a medium is a relative term that can change considerably with the resolution of the sensor. In this study, the backscattered signal from blood has been looked at as a chaotic signal. By this treatment, according to Taken's theorem, a single variable (e.g., amplitude of the blood-backscattered signal) can be used to reconstruct the nonlinear dynamics of the blood-scattered signal. Multilayer perceptron neural network architecture, with error back-propagation, has been formulated and used as a basis for building and testing the chaotic model of the backscattered signal. This chaotic model is used successfully as a short-term predictor of the backscattered signal from blood-mimicking fluid (BMF) flowing in a vascular flow phantom under pulsatile flow. This modelling approach can be useful, for example, in detecting blood-borne emboli.
authors.affiliation: Department of Medical Physics and Bioengineering, St. George's Hospital, Blackshaw Road, London SW17 0QT, UK. mbrawany@sghms.ac.uk
authors.forename: Mohamed A
authors.initials: MA
authors.lastname: El-Brawany
authors.forename: Dariush K
authors.initials: DK
authors.lastname: Nassiri
mesh_terms: D001769:Blood / Q000000981:diagnostic imaging*; D008954:Models, Biological; D017711:Nonlinear Dynamics; D019047:Phantoms, Imaging; D011673:Pulsatile Flow; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation*; D014463:Ultrasonography