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Ultrasonic reflection mode imaging of the nonlinear parameter B/A. II: Signal processing
1Bioacoustics Research Laboratory, University of Illinois, Urbana 61801.
The Journal of the Acoustical Society of America
|July 1, 1989
Summary
This study introduces a novel method to map the nonlinear acoustic parameter B/A using phase changes in a probe wave. The technique utilizes nonlinear acoustic interactions to create a spatial representation of B/A, crucial for material characterization.
Area of Science:
- Nonlinear Acoustics
- Acoustic Wave Propagation
- Materials Science
Background:
- Nonlinear acoustic interactions can reveal material properties.
- The nonlinear parameter B/A is a key indicator of material nonlinearity.
- Previous methods for B/A mapping have limitations in spatial resolution.
Purpose of the Study:
- To develop a new method for spatially mapping the nonlinear acoustic parameter B/A.
- To utilize nonlinear acoustic interactions between counter-propagating waves for B/A imaging.
- To explore advanced waveform design for improved spatial frequency resolution of B/A.
Main Methods:
- Generating phase changes in a probe wave via nonlinear interaction with a broadband pump wave.
- Expressing phase change as a convolution of the pump waveform and the spatial B/A distribution.
- Employing Fourier transformation for space-to-frequency mapping with impulsive pumps.
- Utilizing matched filtering to restore spatial coherence with swept-frequency pumps.
Main Results:
- Phase changes in the probe are directly proportional to the nonlinear parameter B/A.
- An "A-mode" representation of B/A can be achieved through phase detection and deconvolution.
- Fourier transformation enables extraction of spatial B/A information from phase modulation.
- Matched filtering effectively processes signals with swept-frequency pumps.
Conclusions:
- The proposed method offers a viable approach for spatial B/A mapping.
- The technique allows for the design of pump waveforms to resolve a wide range of spatial frequencies in B/A.
- This advancement has implications for nonlinear acoustic imaging and material characterization.