Related Experiment Video
Updated: Jul 7, 2026

A Stable Phantom Material for Optical and Acoustic Imaging
Published on: June 16, 2023
Optimization of speed-of-sound estimation from noisy ultrasonic signals
Abstract:
The effects of prefiltering and the choice of time-delay estimators 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% was achieved in a tissue-mimicking phantom when one beam was tracking along 75 mm in 1-mm increments.
Related Concept Videos
Deriving the Speed of Sound in a Liquid
The speed of sound in fluids can be derived by considering a mechanical wave propagating...
Speed of Sound in Solids and Liquids
Linear Approximation in Time Domain
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length, the...
Speed of Sound in Gases
Linear Approximation in Frequency Domain
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Upsampling

