TY - GEN
T1 - Experimental validation of Crawling Wave Sonoelastography using a high-performance ultrasound system - Verasonics Vantage LE64
AU - Lujan, Eduardo
AU - Merino, Sebastian
AU - Coila, Andres
AU - Castaneda, Benjamin
AU - Romero, Stefano E.
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Crawling Wave Sonoelastography (CWS) is an elas-tography technique that enables the estimation of Shear Wave Speed (SWS). Current algorithms for SWS estimation utilizing time-frequency analysis methods are the Short-Time Fourier Transform (STFT) and the Continuous Wavelet Transform (CWT), which are potentially suitable for realtime CWS. The capability of CWS for realtime applications has been demonstrated, yet it is constrained by the low frame rate achieved for SWS maps. At present, advanced ultrasound equipment supports the high computational demands necessary for generating quantitative ultrasound imaging. Specifically, the Verasonics Vantage LE64 research ultrasound system is able to integrate an ultrafast acquisition mode, which could address the issue of low frame rates. Accordingly, this study is aimed at assessing the conditions required to evaluate the feasibility of CWS using an ultrafast acquisition approach. The experiments were performed on homogeneous phantoms and were based on a comparative approach of combinations of color Doppler modes, particle movement estimators, and SWS estimators. The results suggest that Loupas particle movement estimator enables the potential of Ultrafast Compound Mode (UCM) in low contrast scenarios. Aditionally, CWT allowed the estimation of reliable SWS maps and offered the best performance for this setting.
AB - Crawling Wave Sonoelastography (CWS) is an elas-tography technique that enables the estimation of Shear Wave Speed (SWS). Current algorithms for SWS estimation utilizing time-frequency analysis methods are the Short-Time Fourier Transform (STFT) and the Continuous Wavelet Transform (CWT), which are potentially suitable for realtime CWS. The capability of CWS for realtime applications has been demonstrated, yet it is constrained by the low frame rate achieved for SWS maps. At present, advanced ultrasound equipment supports the high computational demands necessary for generating quantitative ultrasound imaging. Specifically, the Verasonics Vantage LE64 research ultrasound system is able to integrate an ultrafast acquisition mode, which could address the issue of low frame rates. Accordingly, this study is aimed at assessing the conditions required to evaluate the feasibility of CWS using an ultrafast acquisition approach. The experiments were performed on homogeneous phantoms and were based on a comparative approach of combinations of color Doppler modes, particle movement estimators, and SWS estimators. The results suggest that Loupas particle movement estimator enables the potential of Ultrafast Compound Mode (UCM) in low contrast scenarios. Aditionally, CWT allowed the estimation of reliable SWS maps and offered the best performance for this setting.
KW - Crawling Wave Sonoelastography
KW - Particle Movement Estimators
KW - Shear Wave Speed algorithms
KW - Ultrafast Compound Mode
UR - http://www.scopus.com/inward/record.url?scp=85197356489&partnerID=8YFLogxK
U2 - 10.1109/LAUS60931.2024.10553068
DO - 10.1109/LAUS60931.2024.10553068
M3 - Conference contribution
AN - SCOPUS:85197356489
T3 - 2024 IEEE UFFC Latin America Ultrasonics Symposium, LAUS 2024 - Proceedings
BT - 2024 IEEE UFFC Latin America Ultrasonics Symposium, LAUS 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd IEEE UFFC Latin America Ultrasonics Symposium, LAUS 2024
Y2 - 8 May 2024 through 10 May 2024
ER -