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Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Measuring Spatially- and Directionally-varying Light Scattering from Biological Material

Published on: May 20, 2013

Characterizing random complex biological media by quantifying ultrasound multiple scattering.

Omid Yousefian¹, Azadeh Dashti¹, Haley Geithner¹

¹Mechanical and Aerospace Engineering, North Carolina State University, Raleigh, NC, United States.

Frontiers in Acoustics

|May 13, 2025

Summary

This summary is machine-generated.

New metrics using acoustic waves can characterize scattering media, aiding in pulmonary fibrosis evaluation. These metrics quantify multiple scattering and correlate with lung microstructure changes.

Keywords:

multiple scattering quantitative ultrasound random media scattering tissue characterization ultrasound

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Published on: July 1, 2019

Area of Science:

Acoustic wave physics
Biomedical engineering
Medical imaging

Background:

Characterizing highly scattering biological media is challenging.
Ultrasonic techniques offer potential for non-invasive tissue analysis.
Quantifying multiple scattering is key to understanding complex media.

Purpose of the Study:

To develop and validate metrics for characterizing highly scattering media using MHz-range backscattered acoustic waves.
To apply these metrics for evaluating microstructural changes in biological tissues, specifically pulmonary fibrosis.

Main Methods:

Utilized multi-element array transducers to record the ultrasonic Inter element Response Matrix (IRM).
Analyzed the distribution of singular values of the IRM in the frequency domain to quantify multiple scattering.
Employed in silico models, phantom studies (gelatin-glass bead, polydimethylsiloxane), and in vivo rodent models.

Main Results:

Proposed two novel metrics: E(X) (expected value of singular value distribution) and (most represented singular value).
Demonstrated that these metrics are sensitive to changes in the microstructure of scattering media.
Showed a moderate correlation between the proposed metrics and the severity of pulmonary fibrosis in rats.

Conclusions:

The developed metrics can quantify multiple scattering in heterogeneous media.
These metrics show promise for evaluating structural changes in lung microstructure, particularly in the context of pulmonary fibrosis.
The study validates the use of acoustic wave characterization for biological media analysis.