Literature DB >> 23160474

Comparison of ultrasound attenuation and backscatter estimates in layered tissue-mimicking phantoms among three clinical scanners.

Kibo Nam1, Ivan M Rosado-Mendez, Lauren A Wirtzfeld, Goutam Ghoshal, Alexander D Pawlicki, Ernest L Madsen, Roberto J Lavarello, Michael L Oelze, James A Zagzebski, William D O'Brien, Timothy J Hall.   

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, α(0), using backscatter data from the different systems agreed to within 0.24 dB/cm-MHz. Bias in the α(0) 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.

Entities:  

Mesh:

Year:  2012        PMID: 23160474      PMCID: PMC3667595          DOI: 10.1177/0161734612464451

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  24 in total

1.  A new method for attenuation coefficient measurement in the liver: comparison with the spectral shift central frequency method.

Authors:  Yasutomo Fujii; Nobuyuki Taniguchi; Kouichi Itoh; Kouichiro Shigeta; Yi Wang; Jing-Wen Tsao; Kenji Kumasaki; Takashi Itoh
Journal:  J Ultrasound Med       Date:  2002-07       Impact factor: 2.153

2.  Ultrasonic tissue characterization using 2-D spectrum analysis and its application in ocular tumor diagnosis.

Authors:  Tian Liu; Frederic L Lizzi; Ronald H Silverman; Gerald J Kutcher
Journal:  Med Phys       Date:  2004-05       Impact factor: 4.071

3.  Parametric ultrasound imaging from backscatter coefficient measurements: image formation and interpretation.

Authors:  M F Insana; T J Hall
Journal:  Ultrason Imaging       Date:  1990-10       Impact factor: 1.578

4.  Backscatter coefficient measurements using a reference phantom to extract depth-dependent instrumentation factors.

Authors:  L X Yao; J A Zagzebski; E L Madsen
Journal:  Ultrason Imaging       Date:  1990-01       Impact factor: 1.578

5.  Cross-imaging system comparison of backscatter coefficient estimates from a tissue-mimicking material.

Authors:  Kibo Nam; Ivan M Rosado-Mendez; Lauren A Wirtzfeld; Viksit Kumar; Ernest L Madsen; Goutam Ghoshal; Alexander D Pawlicki; Michael L Oelze; Roberto J Lavarello; Timothy A Bigelow; James A Zagzebski; William D O'Brien; Timothy J Hall
Journal:  J Acoust Soc Am       Date:  2012-09       Impact factor: 1.840

6.  Frequency dependence of ultrasound attenuation and backscatter in breast tissue.

Authors:  F T D'Astous; F S Foster
Journal:  Ultrasound Med Biol       Date:  1986-10       Impact factor: 2.998

7.  Renal ultrasound using parametric imaging techniques to detect changes in microstructure and function.

Authors:  M F Insana; T J Hall; J G Wood; Z Y Yan
Journal:  Invest Radiol       Date:  1993-08       Impact factor: 6.016

8.  Simultaneous backscatter and attenuation estimation using a least squares method with constraints.

Authors:  Kibo Nam; James A Zagzebski; Timothy J Hall
Journal:  Ultrasound Med Biol       Date:  2011-10-02       Impact factor: 2.998

9.  Differentiation and characterization of rat mammary fibroadenomas and 4T1 mouse carcinomas using quantitative ultrasound imaging.

Authors:  Michael L Oelze; William D O'Brien; James P Blue; James F Zachary
Journal:  IEEE Trans Med Imaging       Date:  2004-06       Impact factor: 10.048

10.  Characterization of trabecular bone using the backscattered spectral centroid shift.

Authors:  Keith A Wear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2003-04       Impact factor: 3.267

View more
  23 in total

Review 1.  The mechanical role of the cervix in pregnancy.

Authors:  Kristin M Myers; Helen Feltovich; Edoardo Mazza; Joy Vink; Michael Bajka; Ronald J Wapner; Timothy J Hall; Michael House
Journal:  J Biomech       Date:  2015-03-11       Impact factor: 2.712

2.  Lower Bound on Estimation Variance of the Ultrasonic Attenuation Coefficient Using the Spectral-Difference Reference-phantom Method.

Authors:  Kayvan Samimi; Tomy Varghese
Journal:  Ultrason Imaging       Date:  2016-10-20       Impact factor: 1.578

3.  Low Variance Estimation of Backscatter Quantitative Ultrasound Parameters Using Dynamic Programming.

Authors:  Zara Vajihi; Ivan M Rosado-Mendez; Timothy J Hall; Hassan Rivaz
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-09-12       Impact factor: 2.725

4.  Signal to noise ratio comparisons for ultrasound attenuation slope estimation algorithms.

Authors:  Eenas A Omari; Tomy Varghese
Journal:  Med Phys       Date:  2014-03       Impact factor: 4.071

5.  Validation of differences in backscatter coefficients among four ultrasound scanners with different beamforming methods.

Authors:  Masaaki Omura; Hideyuki Hasegawa; Ryo Nagaoka; Kenji Yoshida; Tadashi Yamaguchi
Journal:  J Med Ultrason (2001)       Date:  2019-11-03       Impact factor: 1.314

6.  A Quantitative Ultrasound-Based Multi-Parameter Classifier for Breast Masses.

Authors:  Haidy G Nasief; Ivan M Rosado-Mendez; James A Zagzebski; Timothy J Hall
Journal:  Ultrasound Med Biol       Date:  2019-04-26       Impact factor: 2.998

7.  Attenuation Coefficient Parameter Computations for Tissue Composition Assessment of Carotid Atherosclerotic Plaque in Vivo.

Authors:  Catherine N Steffel; Shahriar Salamat; Thomas D Cook; Stephanie M Wilbrand; Robert J Dempsey; Carol C Mitchell; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2020-04-11       Impact factor: 2.998

8.  Method for estimating total attenuation from a spatial map of attenuation slope for quantitative ultrasound imaging.

Authors:  Alexander D Pawlicki; William D O'Brien
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

9.  Beyond Cervical Length: A Pilot Study of Ultrasonic Attenuation for Early Detection of Preterm Birth Risk.

Authors:  Barbara L McFarlin; Viksit Kumar; Timothy A Bigelow; Douglas G Simpson; Rosemary C White-Traut; Jacques S Abramowicz; William D O'Brien
Journal:  Ultrasound Med Biol       Date:  2015-08-08       Impact factor: 2.998

10.  Real-time implementation of a dual-mode ultrasound array system: in vivo results.

Authors:  Andrew J Casper; Dalong Liu; John R Ballard; Emad S Ebbini
Journal:  IEEE Trans Biomed Eng       Date:  2013-05-21       Impact factor: 4.538

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.