Title
Effects of acoustic nonlinearities on the ultrasonic backscatter coefficient estimation
Date Issued
01 July 2019
Access level
open access
Resource Type
journal article
Author(s)
Universidad de Illinois
Publisher(s)
Acoustical Society of America
Abstract
The backscatter coefficient (BSC) is a fundamental property of tissues and can be used to classify tissues. Two BSC calibration methods are the planar reflector method and the reference phantom method. In both methods, linear acoustic propagation is assumed. In this study, the calibration methods were evaluated when acoustic nonlinear distortion was present. Radio frequency data were acquired from two physical phantoms using a 5 MHz single-element transducer and low power (one excitation level) and high power (six increasing excitation levels) excitation signals. BSCs estimated from the high power settings were compared to the BSCs estimated using the low power by calculating the root mean square error (RMSE). The BSCs were parameterized by fitting the BSC curve to a power law and estimating the power law exponent and by estimating the effective scatterer diameter (ESD). When using the planar reflector method, estimates of the exponent were observed to monotonically increase in value versus increasing excitation level and the ESD decreased with increasing excitation level. The RMSE increased monotonically versus excitation level using the planar reflector method but did not increase using the reference phantom method. The results suggest that the effects of nonlinear distortion are minimized using the reference phantom method.
Start page
85
End page
94
Volume
146
Issue
1
Language
English
OCDE Knowledge area
Ingeniería de sistemas y comunicaciones Ciencias de la computación
Scopus EID
2-s2.0-85068678410
PubMed ID
Source
Journal of the Acoustical Society of America
ISSN of the container
0001-4966
Sponsor(s)
A.C. acknowledges the financial support from the National Council of Science, Technology and Technological Innovation (CONCYTEC, Perú) through the National Fund for Scientific, Technological Development and Technological Innovation (FONDECYT, Perú) under Grant No. 132-2016. The authors also acknowledge grants from the NIH (Nos. R21EB024133 and R21EB023403).
Sources of information: Directorio de Producción Científica Scopus