TY - GEN
T1 - Comparison of Reverberant Shear Wave Speed Estimators in Non-Ideal Fields
AU - Flores Barrera, Gilmer A.
AU - Miranda, Edmundo A.
AU - Romero, Stefano E.
AU - Castaneda, Benjamin
AU - Parker, Kevin J.
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Reverberant shear wave elastography (RSWE) enables tissue stiffness estimation but implementations can be limited by non-ideal wave fields and directional artifacts. This study compares two robust shear wave speed (SWS) estimators: Angular Integration Autocorrelation (AIA) and Regularized Total Variation Phase Gradient (PG-TV) - across five experimental setups using three heterogeneous custom-made gelatin phantoms, a calibrated breast phantom, and ex vivo liver tissue, with vibrations from 100-900 Hz applied using 1-5 mini shakers. Results show that AIA consistently achieved an average lower error across setups (27.1%) compared to PG-TV (38.2%), providing greater robustness to noise and directional bias, particularly in background regions at higher frequencies. Nevertheless, PG-TV provided greater CNR overall, with an average of 2.78 vs. 2.11 from the AIA estimator, showing sharper boundaries, especially in heterogeneous media. Both estimators showed reduced performance at low frequencies due to standing waves. Notably, increasing the number of actuators did not guarantee improved estimations. Results suggest that AIA and PG-TV offer complementary strengths and highlight the need for adaptive metrics to assess field diffusivity and estimator reliability.
AB - Reverberant shear wave elastography (RSWE) enables tissue stiffness estimation but implementations can be limited by non-ideal wave fields and directional artifacts. This study compares two robust shear wave speed (SWS) estimators: Angular Integration Autocorrelation (AIA) and Regularized Total Variation Phase Gradient (PG-TV) - across five experimental setups using three heterogeneous custom-made gelatin phantoms, a calibrated breast phantom, and ex vivo liver tissue, with vibrations from 100-900 Hz applied using 1-5 mini shakers. Results show that AIA consistently achieved an average lower error across setups (27.1%) compared to PG-TV (38.2%), providing greater robustness to noise and directional bias, particularly in background regions at higher frequencies. Nevertheless, PG-TV provided greater CNR overall, with an average of 2.78 vs. 2.11 from the AIA estimator, showing sharper boundaries, especially in heterogeneous media. Both estimators showed reduced performance at low frequencies due to standing waves. Notably, increasing the number of actuators did not guarantee improved estimations. Results suggest that AIA and PG-TV offer complementary strengths and highlight the need for adaptive metrics to assess field diffusivity and estimator reliability.
KW - Shear wave elastography
KW - TV regularization
KW - autocorrelation
KW - diffuse field
KW - reverberant field
KW - wavenumber estimation
UR - https://www.scopus.com/pages/publications/105021827288
U2 - 10.1109/IUS62464.2025.11201378
DO - 10.1109/IUS62464.2025.11201378
M3 - Conference contribution
AN - SCOPUS:105021827288
T3 - IEEE International Ultrasonics Symposium, IUS
BT - 2025 IEEE International Ultrasonics Symposium, IUS 2025
PB - IEEE Computer Society
T2 - 2025 IEEE International Ultrasonics Symposium, IUS 2025
Y2 - 15 September 2025 through 18 September 2025
ER -