A novel estimation system for multiple pulse echo signals from ultrasound contrast microbubbles

Yan Yan, James R. Hopgood, Vassilis Sboros

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

The understanding and exploitation of non-linear microbubble signals is an active research area that aims to advance contrast ultrasound into a high sensitivity and specificity diagnostic imaging modality. To discriminate the difference between echoes from tissue and contrast microbubbles, it is of significance to extract as much information of the reflected signals as possible, especially the pulse locations in the time domain and their corresponding spectral contents in the frequency domain. In this paper, a novel estimation system for extracting the information of interest is proposed. This estimation technique is based on non-parametric methods for coarse estimation, followed by a parametric method within Bayesian framework for estimation refinement. The results show that the pulse location and frequency content can be accurately estimated simultaneously.

Original languageEnglish
Title of host publication2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12
Place of PublicationNEW YORK
PublisherIEEE
Pages601-604
Number of pages4
ISBN (Electronic)978-1-4244-1484-0
ISBN (Print)978-1-4244-1483-3
DOIs
Publication statusPublished - 2008
Event33rd IEEE International Conference on Acoustics, Speech and Signal Processing 2008 - Las Vegas, NV, USA, Las Vegas, United States
Duration: 30 Mar 20084 Apr 2008

Conference

Conference33rd IEEE International Conference on Acoustics, Speech and Signal Processing 2008
Abbreviated titleICASSP 2008
CountryUnited States
CityLas Vegas
Period30/03/084/04/08

Cite this

Yan, Y., Hopgood, J. R., & Sboros, V. (2008). A novel estimation system for multiple pulse echo signals from ultrasound contrast microbubbles. In 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12 (pp. 601-604). IEEE. https://doi.org/10.1109/ICASSP.2008.4517681