Ultrasonic Shear Wave Elasticity Imaging Sequencing and Data Processing Using a Verasonics Research Scanner

Ultrasound elasticity imaging has been developed over the last decade to estimate tissue stiffness. Shear wave elasticity imaging (SWEI) quantifies tissue stiffness by measuring the speed of propagating shear waves following acoustic radiation force excitation. This paper presents the sequencing and...

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Bibliographic Details
Published in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control ferroelectrics, and frequency control, 2017-01, Vol.64 (1), p.164-176
Main Authors: Deng, Yufeng, Rouze, Ned C., Palmeri, Mark L., Nightingale, Kathryn R.
Format: Article
Language:English
Subjects:
Acoustic beams
Acoustic measurement
Acoustic propagation
Acoustics
Algorithms
Data processing
Elasticity
Elasticity Imaging Techniques - instrumentation
Elasticity Imaging Techniques - methods
Filtration
Frequency control
Image Processing, Computer-Assisted - methods
Imaging
MATLAB
Motion simulation
Phantoms, Imaging
S waves
Sequences
Shear
Shear wave elasticity imaging
shear wave speed estimation
Software
Stiffness
Transducers
Ultrasonic testing
ultrasound imaging
Wave propagation
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Summary:Ultrasound elasticity imaging has been developed over the last decade to estimate tissue stiffness. Shear wave elasticity imaging (SWEI) quantifies tissue stiffness by measuring the speed of propagating shear waves following acoustic radiation force excitation. This paper presents the sequencing and data processing protocols of SWEI using a Verasonics system. The selection of the sequence parameters in a Verasonics programming script is discussed in detail. The data processing pipeline to calculate group shear wave speed (SWS), including tissue motion estimation, data filtering, and SWS estimation, is demonstrated. In addition, the procedures for calibration of beam position, scanner timing, and transducer face heating are provided to avoid SWS measurement bias and transducer damage.
ISSN:0885-3010
1525-8955
DOI:10.1109/TUFFC.2016.2614944