Ultrasound harmonic imaging using nonlinear chirp for cardiac imaging

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Coded excitation techniques have been used to improve a signal-to-noiseratio (SNR) in tissue harmonic imaging. However, a poor separation betweenfundamental and target harmonic components causes the second harmonic signals tohave a high level of range sidelobes after compression. In terms of theseparation performance, pulse inversion (PI) is the best method and thusprovides the lowest level of range sidelobes compared to bandpass filtering(BPF) and power modulation. However, the PI requires two transmit steps, thusinevitably decreasing frame rate. This paper proposes a new coded excitationtechnique using a nonlinear chirp for tissue harmonic imaging, particularlycardiac imaging. Since the spectral overlap between a transmitted nonlinearchirp and its second harmonic counterpart is less than the case of linear chirp,a simple BPF can be used for the separation so as to provide the range sidelobelevels comparable to those produced by PI without a loss of frame rate. In theexperiments, the highest level of the sidelobes of the nonlinear chirp was 40.59dB, which was comparable to the value from PI, i.e., 39.84 dB.

Original languageEnglish
Title of host publication2010 IEEE International Ultrasonics Symposium, IUS 2010
Pages2008-2011
Number of pages4
DOIs
StatePublished - 2010
Event2010 IEEE International Ultrasonics Symposium, IUS 2010 - San Diego, CA, United States
Duration: 11 Oct 201014 Oct 2010

Publication series

NameProceedings - IEEE Ultrasonics Symposium
ISSN (Print)1051-0117

Conference

Conference2010 IEEE International Ultrasonics Symposium, IUS 2010
Country/TerritoryUnited States
CitySan Diego, CA
Period11/10/1014/10/10

Keywords

  • Harmonic imaging
  • Nonlinear chirp
  • Spectral overlap
  • coded excitation

Fingerprint

Dive into the research topics of 'Ultrasound harmonic imaging using nonlinear chirp for cardiac imaging'. Together they form a unique fingerprint.

Cite this