Title :
Statistical spectral analysis for echo signals from microbubbles and solid spheres
Author :
Yan, Yan ; Hopgood, James R. ; Steel, Robin ; Sboros, Vassilis
Author_Institution :
Sch. of Eng. & Electron., Univ. of Edinburgh, Edinburgh
Abstract :
The spectral analysis of echo signals from linear and non-linear scatters is important for understanding the behavior of ultrasound contrast microbubbles (MBs) and assisting the design of insonifying pulse waveforms. Most pulse designs assume a theoretical MB behavior instead of using experimental data despite it being accepted that theoretical models have not succeeded in describing MB behavior. Fourier transform (FT) based non-parametric spectral analysis methods are widely used but have limitations in spectral and temporal localization. This study is the first to incorporate receiver characteristics and introduce a parametric model for the estimation of temporal and spectral content of experimental echo signals. This study improves spectral analysis performance and helps understand MB behavior.
Keywords :
Fourier transforms; acoustic signal processing; biological tissues; biomedical ultrasonics; bubbles; echo; medical signal processing; spectral analysis; statistical analysis; Fourier transform; biological tissue; echo signal; insonifying pulse waveform; linear scatter; nonlinear scatter; nonparametric spectral analysis method; parametric estimation; receiver characteristics; solid sphere; statistical signal processing; ultrasound contrast microbubble; Bayesian methods; Filters; Fourier transforms; Frequency estimation; Scattering; Signal processing algorithms; Solids; Spectral analysis; Ultrasonic imaging; Ultrasonic transducers; parametric estimation; receiver chracteristics; spectral analysis; ultrasound contrast microbubbles;
Conference_Titel :
Ultrasonics Symposium, 2008. IUS 2008. IEEE
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-2428-3
Electronic_ISBN :
978-1-4244-2480-1
DOI :
10.1109/ULTSYM.2008.0335