TY - GEN
T1 - Regularized Phase Gradient Analysis for Reverberant Shear Wave Elastography
AU - Miranda, Edmundo A.
AU - Merino, Sebastian
AU - Ormachea, Juvenal
AU - Parker, Kevin J.
AU - Lavarello, Roberto
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Reverberant shear wave elastography (R-SWE) evaluates tissue stiffness by creating a reverberant shear wave field in all directions and estimating the shear wave speed (SWS). A previous study established a linear relationship between the field's phase and the local wave number through the phase gradient (PG) method. This study introduces regularization into R-SWE to enhance the quality of the SWS maps across frequencies. Two regularization methods were analyzed: the single-channel Total Variation (TV) and the multi-frequency channel-based Total Nuclear Variation (TNV). The regularization framework involves unwrapping the phase in axial and lateral directions, calculating the ℓ2-norm of the phase gradient, and proposing a minimizing cost function to address the denoising problem. Metrics were compared to PG with data from simulated and breast phantoms. Results show that regularized methods visually improved the quality of the SWS images while reducing the variability of the estimations. The contrast-to-noise ratio (CNR) was used as an overall metric. For the simulations, the average CNR values were 7.58 (PG-TNV), 2.38 (PG-TV) and 0.88 (PG). For the breast phantom, the CNR values were 4.36 (PG-TNV), 3.01 (PG-TV) and 2.39 (PG). These results suggest that regularization in R-SWE improves SWS imaging, with PG-TNV producing the best SWS maps across all frequency channels, enhancing the trade-off between variability and spatial resolution by incorporating information from multiple frequencies.
AB - Reverberant shear wave elastography (R-SWE) evaluates tissue stiffness by creating a reverberant shear wave field in all directions and estimating the shear wave speed (SWS). A previous study established a linear relationship between the field's phase and the local wave number through the phase gradient (PG) method. This study introduces regularization into R-SWE to enhance the quality of the SWS maps across frequencies. Two regularization methods were analyzed: the single-channel Total Variation (TV) and the multi-frequency channel-based Total Nuclear Variation (TNV). The regularization framework involves unwrapping the phase in axial and lateral directions, calculating the ℓ2-norm of the phase gradient, and proposing a minimizing cost function to address the denoising problem. Metrics were compared to PG with data from simulated and breast phantoms. Results show that regularized methods visually improved the quality of the SWS images while reducing the variability of the estimations. The contrast-to-noise ratio (CNR) was used as an overall metric. For the simulations, the average CNR values were 7.58 (PG-TNV), 2.38 (PG-TV) and 0.88 (PG). For the breast phantom, the CNR values were 4.36 (PG-TNV), 3.01 (PG-TV) and 2.39 (PG). These results suggest that regularization in R-SWE improves SWS imaging, with PG-TNV producing the best SWS maps across all frequency channels, enhancing the trade-off between variability and spatial resolution by incorporating information from multiple frequencies.
KW - Reverberant shear wave elastography
KW - multi-frequency elastography
KW - regularization
KW - shear wave speed
KW - total nuclear variation
KW - total variation
UR - http://www.scopus.com/inward/record.url?scp=85216484840&partnerID=8YFLogxK
U2 - 10.1109/UFFC-JS60046.2024.10793609
DO - 10.1109/UFFC-JS60046.2024.10793609
M3 - Conference contribution
AN - SCOPUS:85216484840
T3 - IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 - Proceedings
BT - IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE Ultrasonics, Ferroelectrics, and Frequency Control Joint Symposium, UFFC-JS 2024
Y2 - 22 September 2024 through 26 September 2024
ER -