参考文献/References:
[1] GARRA B S. Elastography: history, principles, and technique comparison[J].Abdominal Imaging,2015,40(4):680-697.
[2] PALMERI M L, WANG M H, DAHL J J, et al. Quantifying hepatic shear modulus in vivo using acoustic radiation force[J].Ultrasound in Medicine & Biology,2008,34(4):546-558.
[3] LEE E J, JUNG H K, KO K H, et al. Diagnostic performances of shear wave elastography: which parameter to use in differential diagnosis of solid breast masses?[J].European Radiology,2013,23(7):1803-1811.
[4] FERRAIOLI G, TINELLI C, DAL BELLO B, et al. Accuracy of real-time shear wave elastography for assessing liver fibrosis in chronic hepatitis C: a pilot study[J]. Hepatology, 2012, 56(6):2125-2133.
[5] SARVAZYAN A P, RUDENKO O V, SWANSON S D, et al. Shear wave elasticity imaging: a new ultrasonic technology of medical diagnostics[J]. Ultrasound in Medicine & Biology,1998,24(9):1419-1435.
[6] BERCOFF J, TANTER M, FINK M.Supersonic shear imaging: a new technique for soft tissue elasticity mapping[J].IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2004,51(4):396-409.
[7] WANG M H, PALMERI M L, ROTEMBERG V M, et al.Improving the robustness of time-of-flight based shear wave speed reconstruction methods using RANSAC in human liver in vivo[J].Ultrasound in Medicine & Biology,2010,36(5):802-813.
[8] ROUZE N C, WANG M H, PALMERI M L,et al.Robust estimation of time-of-flight shear wave speed using a radon sum transformation[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2010,57(12):2662-2670.
[9] ROUZE N C, WANG M H, PALMERI M L,et al. Parameters affecting the resolution and accuracy of 2-D quantitative shear wave images[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2012,59(8):1729-1740.
[10] AMADOR CARRASCAL C, CHEN Shigao, MANDUCA A,et al.Improved shear wave group velocity estimation method based on spatiotemporal peak and thresholding motion search[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2017,64(4):660-668.
[11] LIPMAN S L, ROUZE N C, PALMERI M L,et al. Evaluating the improvement in shear wave speed image quality using multidimensional directional filters in the presence of reflection artifacts[J].IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2016,63(8):1049-1063.
[12] YOON H, AGLYAMOV S R, EMELIANOV S Y. Dual-phase transmit focusing for multi-angle compound shear-wave elasticity imaging[J].IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2017,64(10): 1439-1449.
[13] LUO Jianwen, YING Kui, HE Ping, et al. Properties of Savitzky—Golay digital differentiators[J].Digital Signal Processing,2005,15(2):122-136.
[14] LUO Jianwen, BAI Jing, HE Ping,et al. Axial strain calculation using a low-pass digital differentiator in ultrasound elastography[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2004,51(9):1119-1127.
[15] GOWRI B G, HARIHARAN V, THARA S, et al. 2D image data approximation using Savitzky Golay filter-smoothing and differencing[J]. IEEE. 2013, 7903: 365-371.
[16] DENG Yufeng, ROUZE N C, PALMERI M L, et al. Ultrasonic shear wave elasticity imaging sequencing and data processing using a verasonics research scanner[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2017,64(1):164-176.
[17] DENG Yufeng, ROUZE N C, PALMERI M L,et al. On system-dependent sources of uncertainty and bias in ultrasonic quantitative shear-wave imaging[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2016,63(3):381-393.
[18] KASAI C, NAMEKAWA K, KOYANO A, et al. Real-time two-dimensional blood-flow imaging using an auto-correlation technique[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,1985,32(3):458-464.
[19] DEFFIEUX T, GENNISSON J, BERCOFF J,et al. On the effects of reflected waves in transient shear wave elastography[J]. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control,2011,58(10):2032-2035.
[20] VARGHESE T, OPHIR J. An analysis of elastographic contrast-to-noise ratio[J]. Ultrasound in Medicine & Biology,1998,24(6):915-924.
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