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A Stable Phantom Material for Optical and Acoustic Imaging

A Stable Phantom Material for Optical and Acoustic Imaging

Published on: June 16, 2023

Investigating a compact phantom and setup for testing body sound transducers.

Hansen A Mansy¹, Joshua Grahe, Thomas J Royston

¹Department of Pediatrics, Rush University, 1725 W Harrison Street, Suite 946, Chicago, IL 60612, USA. hamansy@msn.com

Computers in Biology and Medicine

|April 19, 2011

Summary

This study introduces a new computer-controlled sound phantom for accurately testing contact transducers. It demonstrates methods to improve signal uniformity, enabling better comparison of sensors with varying sizes.

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Area of Science:

Biomedical Engineering
Acoustics
Sensor Technology

Background:

Contact transducers are crucial for body sound experiments but lack standardized calibration.
Accurate characterization of these sensors is essential for reliable experimental data.
Existing testing methods lack uniformity and standardization.

Purpose of the Study:

To investigate the characteristics of a novel computer-controlled sound source phantom for sensor testing.
To evaluate methods for improving spatial and spectral uniformity of the phantom's surface signal.
To address the need for accurate comparison of contact transducers of different sizes.

Main Methods:

Development and implementation of a computer-controlled sound source phantom.
Application of specific techniques to enhance the uniformity of the phantom's acoustic output.

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Measurement and analysis of signal non-uniformities before and after applying enhancement methods.

Main Results:

The developed phantom allows for controlled testing of contact transducers.
Spatial and spectral non-uniformities exceeding 20 dB were successfully reduced.
The study identified specific phantom requirements for sensors of different sizes.

Conclusions:

The computer-controlled phantom provides a standardized approach for testing contact transducers.
Improved signal uniformity facilitates more accurate characterization and comparison of sensors.
This work addresses a critical gap in sensor calibration for body sound research.