Spectral normalization for ultrasonic contrast microbubble detection

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

Ultrasonic contrast agents consisting of microbubbles are used to assess tissue perfusion. The microbubbles are highly reflective and nonlinear and thus produce harmonics that are stronger than those from tissues. However, the magnitude of harmonic signals resulting from a region with microbubbles also depends on the acoustic pressure of incident ultrasound and the attenuation of intervening tissues in the ultrasound path. Therefore, the harmonic magnitude, as used in traditional harmonic imaging, may not be a reliable indicator of the presence or absence of microbubbles, and hence, tissue perfusion. To compensate for these effects, we present two parameters defined as the ratio of the harmonic to the fundamental component (HFR) and the ratio of the harmonic to squared fundamental (HSFR). A simplified model is used to illustrate the usefulness of these two parameters. Experiments show that both parameters improve detection of microbubbles and that HSFR performs better than HFR.

Original languageEnglish (US)
Pages (from-to)150-162
Number of pages13
JournalUltrasonic Imaging
Volume26
Issue number3
StatePublished - Jul 2004

Fingerprint

Microbubbles
Ultrasonics
ultrasonics
harmonics
Perfusion
Acoustics
Contrast Media
Pressure
attenuation
acoustics

Keywords

  • Attenuation compensation
  • Harmonic imaging
  • Microbubbles
  • Perfusion
  • Ultrasound

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Acoustics and Ultrasonics

Cite this

Spectral normalization for ultrasonic contrast microbubble detection. / Chen, Shigao D; McMahon, Eileen M.; Fatemi, Mostafa; Greenleaf, James F; Belohlavek, Marek.

In: Ultrasonic Imaging, Vol. 26, No. 3, 07.2004, p. 150-162.

Research output: Contribution to journalArticle

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