Literature DB >> 21963038

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

Kibo Nam1, James A Zagzebski, Timothy J Hall.   

Abstract

Backscatter and attenuation variations are essential contrast mechanisms in ultrasound B-mode imaging. Emerging quantitative ultrasound methods extract and display absolute values of these tissue properties. However, in clinical applications, backscatter and attenuation parameters sometimes are not easily measured because of tissues inhomogeneities above the region-of-interest (ROI). We describe a least squares method (LSM) that fits the echo signal power spectra from a ROI to a three-parameter tissue model that simultaneously yields estimates of attenuation losses and backscatter coefficients. To test the method, tissue-mimicking phantoms with backscatter and attenuation contrast as well as uniform phantoms were scanned with linear array transducers on a Siemens S2000. Attenuation and backscatter coefficients estimated by the LSM were compared with those derived using a reference phantom method (Yao et al. 1990). Results show that the LSM yields effective attenuation coefficients for uniform phantoms comparable to values derived using the reference phantom method. For layered phantoms exhibiting nonuniform backscatter, the LSM resulted in smaller attenuation estimation errors than the reference phantom method. Backscatter coefficients derived using the LSM were in excellent agreement with values obtained from laboratory measurements on test samples and with theory. The LSM is more immune to depth-dependent backscatter changes than commonly used reference phantom methods.
Copyright © 2011 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21963038      PMCID: PMC3223333          DOI: 10.1016/j.ultrasmedbio.2011.08.008

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  19 in total

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Authors:  Timothy A Bigelow; Michael L Oelze; William D O'Brien
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4.  Ultrasonic computed tomography reconstruction of the attenuation coefficient using a linear array.

Authors:  Sheng-Wen Huang; Pai-Chi Li
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2005-11       Impact factor: 2.725

5.  Dependence of ultrasonic attenuation on bone mass and microstructure in bovine cortical bone.

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6.  Stability of heterogeneous elastography phantoms made from oil dispersions in aqueous gels.

Authors:  Ernest L Madsen; Maritza A Hobson; Hairong Shi; Tomy Varghese; Gary R Frank
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7.  Hybrid spectral domain method for attenuation slope estimation.

Authors:  Hyungsuk Kim; Tomy Varghese
Journal:  Ultrasound Med Biol       Date:  2008-07-14       Impact factor: 2.998

8.  Differentiation of breast tumors by ultrasonic tissue characterization.

Authors:  R M Golub; R E Parsons; B Sigel; E J Feleppa; J Justin; H A Zaren; M Rorke; J Sokil-Melgar; H Kimitsuki
Journal:  J Ultrasound Med       Date:  1993-10       Impact factor: 2.153

9.  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

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

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  21 in total

1.  Time domain attenuation estimation method from ultrasonic backscattered signals.

Authors:  Goutam Ghoshal; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2012-07       Impact factor: 1.840

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.  Ultrasound Attenuation Estimation in Harmonic Imaging for Robust Fatty Liver Detection.

Authors:  Ping Gong; Chenyun Zhou; Pengfei Song; Chengwu Huang; U-Wai Lok; Shanshan Tang; Kymberly Watt; Matthew Callstrom; Shigao Chen
Journal:  Ultrasound Med Biol       Date:  2020-08-06       Impact factor: 2.998

5.  System-Independent Ultrasound Attenuation Coefficient Estimation Using Spectra Normalization.

Authors:  Ping Gong; Pengfei Song; Chengwu Huang; Joshua Trzasko; Shigao Chen
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-03-05       Impact factor: 2.725

6.  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

7.  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

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

Authors:  Kibo Nam; 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
Journal:  Ultrason Imaging       Date:  2012-10       Impact factor: 1.578

9.  Quantitative assessment of in vivo breast masses using ultrasound attenuation and backscatter.

Authors:  Kibo Nam; James A Zagzebski; Timothy J Hall
Journal:  Ultrason Imaging       Date:  2013-04       Impact factor: 1.578

10.  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

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