Optimization of Speed-of-Sound Estimation from Noisy Ultrasonic Signals

J. Ophir, Y. Yazdi, T. S. Lin, David P. Sl

Research output: Contribution to journalArticlepeer-review

Abstract

The effects of prefiltering and the choice of time delay es- timators and statistical data reduction techniques on the precision of speed-of-sound estimation were investigated using the beam-tracking technique. It was found that prefiltering the data with an ideal 50-kHz low-pass filter improved the precision of the estimation in all cases. Echo cross-correlation had an advantage over peak detection for low signal-to-noise ratio (SNR) levels, but its advantage diminished as the signal-to-noise level improved due to filtering. The linear regression method was superior to the paired-point analysis technique under all conditions. Using the optimal set of parameters, precision on the order of 0.1 percent was achieved in a tissue-mimicking phantom when one beam was tracked along 75 mm in 1-mm increments.

Original languageEnglish (US)
Pages (from-to)16-24
Number of pages9
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume36
Issue number1
DOIs
StatePublished - Jan 1989
Externally publishedYes

ASJC Scopus subject areas

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering

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