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Two-dimensional measurement of the nonlinearity parameter B/A in excised biological samples
1School of Marine Science and Technology, Tokai University, 3-20-1 Orido, Shizuoka 424-8610, Japan. ssaito@scc.u-tokai.ac.jp
The Review of Scientific Instruments
|July 5, 2011
Summary
This study automated acoustic nonlinearity parameter (B/A) measurements for small biological samples. The new method generates 2D B/A images, revealing detailed tissue structures and variations within samples.
Area of Science:
- Acoustics
- Biophysics
- Materials Science
Background:
- Accurate measurement of acoustic nonlinearity parameter (B/A) is crucial for characterizing materials.
- Previous methods were limited in sample size and automation.
- Biological tissue heterogeneity requires high-resolution imaging techniques.
Purpose of the Study:
- To automate and adapt a previously developed B/A measurement technique for small biological samples.
- To develop a two-dimensional imaging method for visualizing B/A distribution in biological tissues.
- To demonstrate the capability of the technique for characterizing tissue structure and variations.
Main Methods:
- Automation of B/A measurement using a LabVIEW program for excised biological samples.
- Lateral shifting of the sound beam focus across a 3 × 3 mm(2) sample area.
- Generation of 2D C-mode images by accumulating 256 measurements with 0.2 mm intervals.
Main Results:
- Successful generation of 2D B/A images for biological samples.
- Demonstration that B/A distribution patterns can differ from linear properties like density and sound speed.
- Visualization of regional variations in B/A within a single biological sample.
- Application to a thermally coagulated biological sample, showcasing utility for small and altered samples.
Conclusions:
- The automated 2D B/A imaging technique provides high-resolution structural information in biological tissues.
- This method reveals detailed acoustic nonlinearity variations, offering insights beyond traditional linear property imaging.
- The technique is effective for small sample volumes and demonstrates potential for various biological and material science applications.
