The University of Southampton
University of Southampton Institutional Repository

System identification approach to contrast imaging with single pulse emission

System identification approach to contrast imaging with single pulse emission
System identification approach to contrast imaging with single pulse emission
Objectives: Contrast imaging methods such as pulse inversion exploit the difference in scattering responses between linear tissue and nonlinear contrast agents. Such methods emit two or more pulses separated either temporally or spatially, at the cost of either reduced frame rate or reduced spatial resolution as compared to the theoretical values possible from a single pulse emission. This article proposes a method for imaging contrast agents specifically using single pulse emission only.
Methods: A system identification approach is taken, first fitting a least squares linear transfer function model between emitted and received pulses, and then obtaining a set of predicted received pulse values based on the emitted pulse and the linear least squares model.
Results: In the case of the reflector being linear (tissue), the linear least squares model accurately predicts the received pulse and the pulse prediction error is insignificant. In the case of a nonlinear reflector (contrast agent), the linear model cannot accurately predict the received pulse and the pulse prediction error is significant.
Conclusions: These results are parallel to the insignificant and significant residual pulses obtained respectively in pulse inversion, but the method here requires only a single emission to obtain the discrimination. Results for typical contrast agent responses are given.
0301-5629
P278
Fox, P.
54b0af67-18d6-4b38-b3c4-63eba72931f8
Tranquart, F.
46f02939-e59f-478c-8c85-ac091f51d1fd
Fox, P.
54b0af67-18d6-4b38-b3c4-63eba72931f8
Tranquart, F.
46f02939-e59f-478c-8c85-ac091f51d1fd

Fox, P. and Tranquart, F. (2006) System identification approach to contrast imaging with single pulse emission. Ultrasound in Medicine & Biology, 32 (5), P278. (doi:10.1016/j.ultrasmedbio.2006.02.1276).

Record type: Article

Abstract

Objectives: Contrast imaging methods such as pulse inversion exploit the difference in scattering responses between linear tissue and nonlinear contrast agents. Such methods emit two or more pulses separated either temporally or spatially, at the cost of either reduced frame rate or reduced spatial resolution as compared to the theoretical values possible from a single pulse emission. This article proposes a method for imaging contrast agents specifically using single pulse emission only.
Methods: A system identification approach is taken, first fitting a least squares linear transfer function model between emitted and received pulses, and then obtaining a set of predicted received pulse values based on the emitted pulse and the linear least squares model.
Results: In the case of the reflector being linear (tissue), the linear least squares model accurately predicts the received pulse and the pulse prediction error is insignificant. In the case of a nonlinear reflector (contrast agent), the linear model cannot accurately predict the received pulse and the pulse prediction error is significant.
Conclusions: These results are parallel to the insignificant and significant residual pulses obtained respectively in pulse inversion, but the method here requires only a single emission to obtain the discrimination. Results for typical contrast agent responses are given.

Full text not available from this repository.

More information

Published date: 2006
Additional Information: Scientific exhibition 3504. Official Proceedings of the 11th Congress of the World Federation for Ultrasound in Medicine and Biology

Identifiers

Local EPrints ID: 43524
URI: https://eprints.soton.ac.uk/id/eprint/43524
ISSN: 0301-5629
PURE UUID: 374d194f-8396-4fa1-8e36-17b90e11ff92

Catalogue record

Date deposited: 31 Jan 2007
Last modified: 13 Mar 2019 21:09

Export record

Altmetrics

Contributors

Author: P. Fox
Author: F. Tranquart

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×