TY - JOUR
T1 - Evaluation of Reconstruction Parameters for 2-D Comb-Push Ultrasound Shear Wave Elastography
AU - Racedo, Jorge
AU - Urban, Matthew W.
N1 - Funding Information:
This work was supported in part by the National Institute of Diabetes and Digestive and Kidney Diseases under Grant R01DK092255, in part by the National Institutes of Health, and in part by Mayo Clinic Research Committee. The authors would like to thank Dr. S. A. Taborda for her assistance in this project. The content is solely the responsibility of authors and does not necessarily represent the official views of the Institute of Diabetes and Digestive and Kidney Diseases or National Institutes of Health.
Publisher Copyright:
© 2019 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.
PY - 2019/2/1
Y1 - 2019/2/1
N2 - Shear wave elastography (SWE) is a noninvasive ultrasound imaging modality used in the assessment of the mechanical properties of tissues such as the liver, kidney, skeletal muscle, thyroid, and the breast. Among the methods used to perform SWE is the comb-push ultrasound shear elastography method. This method uses multiple focused ultrasound beams to generate push beams with acoustic radiation force. Applying these push beams generates propagating shear waves. The propagation motion is measured with ultrafast ultrasound imaging. The shear wave motion data are directionally filtered, and a 2-D shear wave velocity (SWV) algorithm is applied to create group velocity maps. This algorithm uses a moving window and a specified patch for performing cross-correlations of time-domain signals. We performed a parametric study of how the choice of the patch and window size affected the reconstruction of the SWV in homogeneous and inclusion phantoms. We quantified the mean velocity and coefficient of variation in the homogeneous phantoms. We measured the contrast-to-noise ratio and bias in the inclusion phantoms. In each of these cases, we found that particular combinations of the patch and window provided optimal values of these evaluation metrics for the phantoms tested. This study provides a basis to construct algorithms to produce optimal SWV reconstructions for various clinical applications.
AB - Shear wave elastography (SWE) is a noninvasive ultrasound imaging modality used in the assessment of the mechanical properties of tissues such as the liver, kidney, skeletal muscle, thyroid, and the breast. Among the methods used to perform SWE is the comb-push ultrasound shear elastography method. This method uses multiple focused ultrasound beams to generate push beams with acoustic radiation force. Applying these push beams generates propagating shear waves. The propagation motion is measured with ultrafast ultrasound imaging. The shear wave motion data are directionally filtered, and a 2-D shear wave velocity (SWV) algorithm is applied to create group velocity maps. This algorithm uses a moving window and a specified patch for performing cross-correlations of time-domain signals. We performed a parametric study of how the choice of the patch and window size affected the reconstruction of the SWV in homogeneous and inclusion phantoms. We quantified the mean velocity and coefficient of variation in the homogeneous phantoms. We measured the contrast-to-noise ratio and bias in the inclusion phantoms. In each of these cases, we found that particular combinations of the patch and window provided optimal values of these evaluation metrics for the phantoms tested. This study provides a basis to construct algorithms to produce optimal SWV reconstructions for various clinical applications.
KW - Acoustic radiation force (ARF)
KW - comb-push ultrasound shear wave elastography (CUSE)
KW - shear wave elastography (SWE)
KW - shear wave velocity (SWV)
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U2 - 10.1109/TUFFC.2018.2884348
DO - 10.1109/TUFFC.2018.2884348
M3 - Article
C2 - 30507530
AN - SCOPUS:85057884084
SN - 0885-3010
VL - 66
SP - 254
EP - 263
JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
IS - 2
ER -