Title
Comparison of ultrasound attenuation and backscatter estimates in layered tissue-mimicking phantoms among three clinical scanners
Date Issued
01 January 2012
Access level
open access
Resource Type
journal article
Author(s)
Nam K.
Rosado-Mendez I.M.
Wirtzfeld L.A.
Ghoshal G.
Pawlicki A.D.
Madsen E.L.
Oelze M.L.
Zagzebski J.A.
O'Brien W.D.
Hall T.J.
Publisher(s)
SAGE Publications Inc.
Abstract
Backscatter and attenuation coefficient estimates are needed in many quantitative ultrasound strategies. In clinical applications, these parameters may not be easily obtained because of variations in scattering by tissues overlying a region of interest (ROI). The goal of this study is to assess the accuracy of backscatter and attenuation estimates for regions distal to nonuniform layers of tissue-mimicking materials. In addition, this work compares results of these estimates for "layered" phantoms scanned using different clinical ultrasound machines. Two tissue-mimicking phantoms were constructed, each exhibiting depth-dependent variations in attenuation or backscatter. The phantoms were scanned with three ultrasound imaging systems, acquiring radio frequency echo data for offline analysis. The attenuation coefficient and the backscatter coefficient (BSC) for sections of the phantoms were estimated using the reference phantom method. Properties of each layer were also measured with laboratory techniques on test samples manufactured during the construction of the phantom. Estimates of the attenuation coefficient versus frequency slope, a0, using backscatter data from the different systems agreed to within 0.24 dB/cm-MHz. Bias in the a0 estimates varied with the location of the ROI. BSC estimates for phantom sections whose locations ranged from 0 to 7 cm from the transducer agreed among the different systems and with theoretical predictions, with a mean bias error of 1.01 dB over the used bandwidths. This study demonstrates that attenuation and BSCs can be accurately estimated in layered inhomogeneous media using pulse-echo data from clinical imaging systems. © Author(s) 2012.
Start page
209
End page
221
Volume
34
Issue
4
Language
English
OCDE Knowledge area
Ingeniería eléctrica, Ingeniería electrónica
Ingeniería médica
Subjects
Scopus EID
2-s2.0-84873203487
PubMed ID
Source
Ultrasonic Imaging
ISSN of the container
01617346
Sponsor(s)
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by NIH Grant R01CA111289 and the Consejo Nacional de Ciencia y Tecnologia of Mexico (Reg. 206414).
Sources of information:
Directorio de Producción Científica
Scopus