Quantitative Ultrasound Elastography of Breast: A Review and Update with Emphasis on Shear Wave Imaging (ARFI)

AbstractUltrasound elastography is a relatively new non-invasive diagnostic imaging technology that maps elastic properties and the stiffness of soft tissue. In general, these methods can be classified into strain imaging methods that use internal or external compression stimuli and a shear wave imaging that use ultrasound-generated travelling shear wave stimuli. In this review we describe the basics of ultrasound elastography, discuss differences between various ultrasound elastography techniques, and review advantages, limitations, and the safety of these techniques in clinical practice, especially in neonatology. Furthermore, we review the potential of application of elastography in revealing brain injury and characterizing age dependent differences in preterm and term infants.

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A new 2D shear wave imaging system for ultrasound elastography

2015 IEEE International Ultrasonics Symposium (IUS) ◽

10.1109/ultsym.2015.0433 ◽

2015 ◽

Author(s):

Weibao Qiu ◽

Congzhi Wang ◽

Yang Xiao ◽

Ming Qian ◽

Hairong Zheng

Keyword(s):

Shear Wave ◽

Imaging System ◽

Ultrasound Elastography ◽

Shear Wave Imaging ◽

Wave Imaging

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A new shear wave imaging system for ultrasound elastography

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) ◽

10.1109/embc.2015.7319233 ◽

2015 ◽

Cited By ~ 1

Author(s):

Weibao Qiu ◽

Congzhi Wang ◽

Yang Xiao ◽

Ming Qian ◽

Hairong Zheng

Keyword(s):

Shear Wave ◽

Imaging System ◽

Ultrasound Elastography ◽

Shear Wave Imaging ◽

Wave Imaging

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A scanning-mode 2D shear wave imaging (s2D-SWI) system for ultrasound elastography

Ultrasonics ◽

10.1016/j.ultras.2015.05.005 ◽

2015 ◽

Vol 62 ◽

pp. 89-96 ◽

Cited By ~ 6

Author(s):

Weibao Qiu ◽

Congzhi Wang ◽

Yongchuan Li ◽

Juan Zhou ◽

Ge Yang ◽

...

Keyword(s):

Shear Wave ◽

Ultrasound Elastography ◽

Shear Wave Imaging ◽

Wave Imaging

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FROM THE BOREHOLE WALL INTO THE FORMATION – COMBINING BOREHOLE IMAGES WITH DEEP SHEAR WAVE IMAGING TECHNOLOGY

10.30632/t60als-2019_xxx ◽

2019 ◽

Author(s):

Stefan Schimschal ◽

Stephen Fayers ◽

Nicklas Ritzmann ◽

Martin Cox ◽

Iain Whyte

Keyword(s):

Shear Wave ◽

Borehole Wall ◽

Imaging Technology ◽

Shear Wave Imaging ◽

Wave Imaging

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Natural shear wave imaging using vocal tract vibrations: Introducing vocal passive elastography (V-PE) to thyroid elasticity mapping

Applied Physics Letters ◽

10.1063/5.0031169 ◽

2021 ◽

Vol 118 (2) ◽

pp. 023702

Author(s):

Steve Beuve ◽

Samuel Callé ◽

Elise Khoury ◽

Emmanuel Gilles Simon ◽

Jean-Pierre Remenieras

Keyword(s):

Shear Wave ◽

Vocal Tract ◽

Shear Wave Imaging ◽

Wave Imaging

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A Color-Doppler Shear-Wave-Imaging Phase-reconstruction Method Using Four Color Flow Images

Ultrasonic Imaging ◽

10.1177/0161734616680985 ◽

2016 ◽

Vol 39 (3) ◽

pp. 172-188

Author(s):

Naoki Sunaguchi ◽

Yoshiki Yamakoshi ◽

Takahito Nakajima

Keyword(s):

Image Quality ◽

Shear Wave ◽

Initial Phase ◽

Color Doppler ◽

Reconstruction Method ◽

Phase Reconstruction ◽

Color Flow ◽

Shear Wave Imaging ◽

Wave Imaging ◽

Phase Map

This study investigates shear wave phase map reconstruction using a limited number of color flow images (CFIs) acquired with a color Doppler ultrasound imaging instrument. We propose an efficient reconstruction method to considerably reduce the number of CFIs required for reconstruction and compare this method with Fourier analysis-based color Doppler shear wave imaging. The proposed method uses a two-step phase reconstruction process, including an initial phase map derived from four CFIs using an advanced iterative algorithm of optical interferometry. The second step reduces phase artifacts in the initial phase map using an iterative correction procedure that cycles between the Fourier and inverse Fourier domains while imposing directional filtering and total variation regularization. We demonstrate the efficacy of this method using synthetic and experimental data of a breast phantom and human breast tissue. Our results show that the proposed method maintains image quality and reduces the number of CFIs required to four; previous methods have required at least 32 CFIs to achieve equivalent image quality. The proposed method is applicable to real-time shear wave elastography using a continuous shear wave produced by a mechanical vibrator.

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