Skip to main content
Top
Published in: Journal of Medical Ultrasonics 1/2020

01-01-2020 | Original Article–Physics & Engineering

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

Published in: Journal of Medical Ultrasonics | Issue 1/2020

Login to get access

Abstract

Purpose

The backscatter coefficient (BSC) indicates the absolute scatterer property of a material, independently of clinicians and system settings. Our study verified that the BSC differed among the scanners, transducers, and beamforming methods used for quantitative ultrasound analyses of biological tissues.

Methods

Measurements were performed on four tissue-mimicking homogeneous phantoms containing spherical scatterers with mean diameters of 20 and 30 µm prepared at concentrations of 0.5 and 2.0 wt%, respectively. The BSCs in the different systems were compared using ultrasound scanners with two single-element transducers and five linear high- or low-frequency probes. The beamforming methods were line-by-line formation using focused imaging (FI) and parallel beam formation using plane wave imaging (PWI). The BSC of each system was calculated by the reference phantom method. The mean deviation from the theoretical BSC computed by the Faran model was analyzed as the benchmark validation of the calculated BSC.

Results

The BSCs calculated in systems with different properties and beamforming methods well concurred with the theoretical BSC. The mean deviation was below ± 2.8 dB on average, and within the approximate standard deviation (± 2.2 dB at most) in all cases. These variations agreed with a previous study in which the largest error among four different scanners with FI beamforming was 3.5 dB.

Conclusion

The BSC in PWI was equivalent to those in the other systems and to those of FI beamforming. This result indicates the possibility of ultra-high frame-rate BSC analysis using PWI.
Literature
1.
go back to reference Rohrbach D, Wodlinger B, Wen J, Mamou J, Feleppa E. High-frequency quantitative ultrasound for imaging prostate cancer using a novel micro-ultrasound scanner. Ultrasound Med Biol. 2018;44:1341–54.CrossRef Rohrbach D, Wodlinger B, Wen J, Mamou J, Feleppa E. High-frequency quantitative ultrasound for imaging prostate cancer using a novel micro-ultrasound scanner. Ultrasound Med Biol. 2018;44:1341–54.CrossRef
2.
go back to reference Tamura K, Mamou J, Coron A, Yoshida K, Yamaguchi T. Effects of signal saturation on QUS parameter estimates based on high- effects of signal saturation on QUS parameter estimates based on high-frequency-ultrasound signals acquired from isolated cancerous lymph nodes. IEEE Trans Ultrason Ferroelectr Freq Control. 2017;64:1501–13.CrossRef Tamura K, Mamou J, Coron A, Yoshida K, Yamaguchi T. Effects of signal saturation on QUS parameter estimates based on high- effects of signal saturation on QUS parameter estimates based on high-frequency-ultrasound signals acquired from isolated cancerous lymph nodes. IEEE Trans Ultrason Ferroelectr Freq Control. 2017;64:1501–13.CrossRef
3.
go back to reference Oelze ML, Mamou J. Review of quantitative ultrasound: envelope statistics and backscatter coefficient imaging and contributions to diagnostic ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control. 2016;63:336–51.CrossRef Oelze ML, Mamou J. Review of quantitative ultrasound: envelope statistics and backscatter coefficient imaging and contributions to diagnostic ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control. 2016;63:336–51.CrossRef
4.
go back to reference Destrempes F, Franceschini E, Yu FTH, Cloutier G. Unifying concepts of statistical and spectral quantitative ultrasound techniques. IEEE Trans Med Imaging. 2016;35:488–500.CrossRef Destrempes F, Franceschini E, Yu FTH, Cloutier G. Unifying concepts of statistical and spectral quantitative ultrasound techniques. IEEE Trans Med Imaging. 2016;35:488–500.CrossRef
5.
go back to reference Oguri T, Tamura K, Yoshida K, Mamou J, Hasegawa H, Maruyama H, et al. Estimation of scatterer size and acoustic concentration in sound field produced by linear phased array transducer. Jpn J Appl Phys. 2015;54.CrossRef Oguri T, Tamura K, Yoshida K, Mamou J, Hasegawa H, Maruyama H, et al. Estimation of scatterer size and acoustic concentration in sound field produced by linear phased array transducer. Jpn J Appl Phys. 2015;54.CrossRef
6.
go back to reference Wear KA, Stiles TA, Frank GR, Madsen EL, Cheng F, Feleppa EJ, et al. Interlaboratory comparison of measurements from 2 to 9 MHz. Am Inst Ultrasound Med. 2005;24:1235–50.CrossRef Wear KA, Stiles TA, Frank GR, Madsen EL, Cheng F, Feleppa EJ, et al. Interlaboratory comparison of measurements from 2 to 9 MHz. Am Inst Ultrasound Med. 2005;24:1235–50.CrossRef
7.
go back to reference Madsen EL, Dong F, Frank GR, Garra BS, Wear KA, Wilson T, et al. Interlaboratory comparison of ultrasonic backscatter, attenuation, and speed measurements. J Ultrasound Med. 1999;18:615–31.CrossRef Madsen EL, Dong F, Frank GR, Garra BS, Wear KA, Wilson T, et al. Interlaboratory comparison of ultrasonic backscatter, attenuation, and speed measurements. J Ultrasound Med. 1999;18:615–31.CrossRef
8.
go back to reference Anderson JJ, Herd M-T, King MR, Haak A, Hafez ZT, Song J, et al. Interlaboratory comparison of backscatter coefficient estimates for tissue-mimicking phantoms. Ultrason Imaging. 2010;32:48–64.CrossRef Anderson JJ, Herd M-T, King MR, Haak A, Hafez ZT, Song J, et al. Interlaboratory comparison of backscatter coefficient estimates for tissue-mimicking phantoms. Ultrason Imaging. 2010;32:48–64.CrossRef
9.
go back to reference Nam K, Rosado-Mendez IM, Wirtzfeld LA, Pawlicki AD, Kumar V, Madsen EL, et al. Ultrasonic attenuation and backscatter coefficient estimates of rodent-tumor-mimicking structures: comparison of results among clinical scanners. Ultrason Imaging. England. 2011;33:233–50.CrossRef Nam K, Rosado-Mendez IM, Wirtzfeld LA, Pawlicki AD, Kumar V, Madsen EL, et al. Ultrasonic attenuation and backscatter coefficient estimates of rodent-tumor-mimicking structures: comparison of results among clinical scanners. Ultrason Imaging. England. 2011;33:233–50.CrossRef
10.
go back to reference Nam K, Rosado-Mendez IM, Wirtzfeld LA, Ghoshal G, Pawlicki AD, Madsen EL, et al. Comparison of ultrasound attenuation and backscatter estimates in layered tissue-mimicking phantoms among three clinical scanners. Ultrason Imaging. 2012;34:209–21.CrossRef Nam K, Rosado-Mendez IM, Wirtzfeld LA, Ghoshal G, Pawlicki AD, Madsen EL, et al. Comparison of ultrasound attenuation and backscatter estimates in layered tissue-mimicking phantoms among three clinical scanners. Ultrason Imaging. 2012;34:209–21.CrossRef
11.
go back to reference Tanter M, Fink M. Ultrafast Imaging in Biomedical Ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control. 2014;61:102–19.CrossRef Tanter M, Fink M. Ultrafast Imaging in Biomedical Ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control. 2014;61:102–19.CrossRef
12.
go back to reference Hasegawa H. Apodized adaptive beamformer. J Med Ultrason. 2017;44:155–65.CrossRef Hasegawa H. Apodized adaptive beamformer. J Med Ultrason. 2017;44:155–65.CrossRef
13.
go back to reference Albinsson J, Hasegawa H, Takahashi H, Id EB, Ramalli A, Ryd Å, et al. Iterative 2D tissue motion tracking in ultrafast ultrasound imaging. Appl Sci. 2018;8:1–16.CrossRef Albinsson J, Hasegawa H, Takahashi H, Id EB, Ramalli A, Ryd Å, et al. Iterative 2D tissue motion tracking in ultrafast ultrasound imaging. Appl Sci. 2018;8:1–16.CrossRef
14.
go back to reference Garcia-Duitama J, Chayer B, Han A, Garcia D, Oelze ML, Cloutier G. Experimental application of ultrafast imaging to spectral tissue characterization. Ultrasound Med Biol. 2015;41:2506–19.CrossRef Garcia-Duitama J, Chayer B, Han A, Garcia D, Oelze ML, Cloutier G. Experimental application of ultrafast imaging to spectral tissue characterization. Ultrasound Med Biol. 2015;41:2506–19.CrossRef
15.
go back to reference Salles S, Liebgott H, Basset O, Cachard C, Vray D, Lavarello R, et al. Experimental evaluation of spectral-based plane. Wave Compound. 2014;61:1824–34. Salles S, Liebgott H, Basset O, Cachard C, Vray D, Lavarello R, et al. Experimental evaluation of spectral-based plane. Wave Compound. 2014;61:1824–34.
16.
go back to reference Strohm EM, Moore MJ, Kolios MC. Single cell photoacoustic microscopy: a review. IEEE J Sel Top Quantum Electron. 2016;22:137–51.CrossRef Strohm EM, Moore MJ, Kolios MC. Single cell photoacoustic microscopy: a review. IEEE J Sel Top Quantum Electron. 2016;22:137–51.CrossRef
17.
go back to reference Omura M, Yoshida K, Akita S, Yamaguchi T. Verification of echo amplitude envelope analysis method in skin tissues for quantitative follow-up of healing ulcers. Jpn J Appl Phys. 2018;57.CrossRef Omura M, Yoshida K, Akita S, Yamaguchi T. Verification of echo amplitude envelope analysis method in skin tissues for quantitative follow-up of healing ulcers. Jpn J Appl Phys. 2018;57.CrossRef
18.
go back to reference Mozumi M, Hasegawa H. Adaptive beamformer combined with phase coherence weighting applied to ultrafast ultrasound. Appl Sci. 2018;8:204-1–-13.CrossRef Mozumi M, Hasegawa H. Adaptive beamformer combined with phase coherence weighting applied to ultrafast ultrasound. Appl Sci. 2018;8:204-1–-13.CrossRef
19.
go back to reference Rodriguez-Molares A, Rindal OMH, Bernard O, Nair A, Bell MAL, Liebgott H, et al. The UltraSound ToolBox. 2017 IEEE Int Ultrason Symp. 2017. pp. 1–4. Rodriguez-Molares A, Rindal OMH, Bernard O, Nair A, Bell MAL, Liebgott H, et al. The UltraSound ToolBox. 2017 IEEE Int Ultrason Symp. 2017. pp. 1–4.
20.
go back to reference Kuc R, Schwartz M. Estimating the acoustic attenuation coefficient slope for liver from reflected ultrasound signals. IEEE Trans Sonics Ultrason. 1979;26:353–61.CrossRef Kuc R, Schwartz M. Estimating the acoustic attenuation coefficient slope for liver from reflected ultrasound signals. IEEE Trans Sonics Ultrason. 1979;26:353–61.CrossRef
21.
go back to reference Oelze ML, O’Brien WD. Defining optimal axial and lateral resolution for estimating scatterer properties from volumes using ultrasound backscatter. J Acoust Soc Am. 2004;115:3226–34.CrossRef Oelze ML, O’Brien WD. Defining optimal axial and lateral resolution for estimating scatterer properties from volumes using ultrasound backscatter. J Acoust Soc Am. 2004;115:3226–34.CrossRef
22.
go back to reference Yao LX, Zagzebski JA, Madsen EL. Backscatter coefficient measurements using a reference phantom to extract depth-dependent instrumentation factors. Ultrason Imaging. 1990;12:58–70.CrossRef Yao LX, Zagzebski JA, Madsen EL. Backscatter coefficient measurements using a reference phantom to extract depth-dependent instrumentation factors. Ultrason Imaging. 1990;12:58–70.CrossRef
23.
go back to reference Faran JJ. Sound scattering by solid cylinders and spheres. J Acoust Soc Am. 1988;405:405–18. Faran JJ. Sound scattering by solid cylinders and spheres. J Acoust Soc Am. 1988;405:405–18.
24.
go back to reference Coila AL, Lavarello R. Regularized spectral log difference technique for ultrasonic attenuation imaging. IEEE Trans Ultrason Ferroelectr Freq Control. 2018;65:378–89.CrossRef Coila AL, Lavarello R. Regularized spectral log difference technique for ultrasonic attenuation imaging. IEEE Trans Ultrason Ferroelectr Freq Control. 2018;65:378–89.CrossRef
25.
go back to reference Vajihi Z, Rosado-Mendez IM, Hall TJ, Rivaz H. Low variance estimation of backscatter quantitative ultrasound parameters using dynamic programming. IEEE Trans Ultrason Ferroelectr Freq Control. 2018;65:2042–53.CrossRef Vajihi Z, Rosado-Mendez IM, Hall TJ, Rivaz H. Low variance estimation of backscatter quantitative ultrasound parameters using dynamic programming. IEEE Trans Ultrason Ferroelectr Freq Control. 2018;65:2042–53.CrossRef
26.
go back to reference Nam K, Zagzebski JA, Hall TJ. Simultaneous backscatter and attenuation estimation using a least squares method with constraints. Ultrasound Med Biol. 2011;37:2096–104.CrossRef Nam K, Zagzebski JA, Hall TJ. Simultaneous backscatter and attenuation estimation using a least squares method with constraints. Ultrasound Med Biol. 2011;37:2096–104.CrossRef
Metadata
Title
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
Publication date
01-01-2020
Publisher
Springer Singapore
Published in
Journal of Medical Ultrasonics / Issue 1/2020
Print ISSN: 1346-4523
Electronic ISSN: 1613-2254
DOI
https://doi.org/10.1007/s10396-019-00984-w

Other articles of this Issue 1/2020

Journal of Medical Ultrasonics 1/2020 Go to the issue