Nonlinear post-beamforming filtering of pulse-echo ultrasound for contrast enhancement

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

Abstract

We have recently validated the use of a second-order Volterra (SoVF) model for separating the linear and quadratic components of the beamformed radio frequency (RF) data in pulseecho ultrasonic imaging. The quadratic component captures the second order nonlinearities in the echo data. Grayscale images from the quadratic component, referred to as quadratic B-mode (QB-mode) images, typically have higher contrast and increased dynamic range than the standard B-mode images (without loss in spatial resolution). An SVD-based algorithm for finding the coefficients of the SoVF based on a linear plus quadratic prediction model of the RF data was developed and validated in a variety of imaging situations, including in vivo. This approach, while successful, may produce images with ripple artifacts due to the truncation of the kernel. Adaptive SoVF implementations based on both LMS and RLS methods have been developed and are shown to produce artifact-free QB-mode images using relatively small kernels, i.e. well suited for real-time implementation. In this paper, we show results of imaging microbubble ultrasound contrast agents (UCAs) to demonstrate the increased sensitivity and specificity of QB-mode imaging compared to conventional methods.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages2641-2644
Number of pages4
ISBN (Print)9781424456543
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: Nov 7 2009Nov 10 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2009 IEEE International Conference on Image Processing, ICIP 2009
Country/TerritoryEgypt
CityCairo
Period11/7/0911/10/09

Keywords

  • Beamforming
  • Contrast enhancement
  • Inverse filtering
  • Pulse-echo ultrasound
  • Volterra filters

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