## 4 Results
\begin{table}
\begin{tabular}{c c c c c c c} \hline
**Displacement Estimator** & **CNR Pre-STREAL** & **CNR Post-STREAL** & **SNR Pre-STREAL** & **SNR Post-STREAL** & **Ratio Pre-STREAL** & **Ratio Post-STREAL** \\ \hline AM2D & 10.1 & 16.3 & 7.0 & 12.3 & 3.3 & 4.1 \\ \hline GLUE & 14.6 & 15.1 & 9.8 & 9.7 & 3.0 & 2.8 \\ \hline OVERWIND & 3.1 & 3.36 & 0.62 & 0.72 & 1.2 & 1.27 \\ \hline SOUL & 16.4 & 17.2 & 10.2 & 11.1 & 2.6 & 2.83 \\ \hline \end{tabular}
\end{table} 
Table 7: CNR, SNR, and inclusion to background Young’s modulus ratios obtained for axial strain images of Patient 2 computed using each displacement estimator with and without STREAL enhancement. Figure 10: Reconstructed Young’s modulus images of Patient 2 computed from displacement fields obtained by each displacement estimator with and without STREAL enhancement. Approximate tumor ROI is highlighted in red [11]. AM2D provides a reasonably high-quality image at a very low computational cost. Figure 12: Lateral strain images of Patient 2 computed from displacement fields obtained by each displacement estimator with and without STREAL enhancement. AM2D with STREAL enhancement provides reasonably high-quality images at a very low computational cost. \begin{table}
\begin{tabular}{c c c c c c c} \hline \hline
**Displacement Estimator** & **CNR** & **CNR** & **SNR** & **SNR** & **Ratio** & **Ratio** \\
**Estimator** & **Pre-STREAL** & **Post-STREAL** & **Pre-STREAL** & **Post-STREAL** & **Pre-STREAL** & **Post-STREAL** \\ \hline AM2D & 50.0 & 35.1 & 40.7 & 29.6 & 5.4 & 6.3 \\ \hline GLUE & 12.6 & 10.6 & 9.5 & 7.4 & 4.0 & 3.3 \\ \hline OVERWIND & 59.1 & 89.3 & 37.8 & 44.0 & 2.8 & 2.0 \\ \hline SOUL & 40.9 & 34.9 & 34.4 & 27.1 & 5.9 & 2.7 \\ \hline \hline \end{tabular}
\end{table} 
Table 8: CNR, SNR, and inclusion to background [PERSON]’s modulus ratios obtained for axial strain images of Patient 3 computed using each displacement estimator with and without STREAL enhancement. Figure 13: Reconstructed [PERSON]’s modulus images of Patient 3 computed from displacement fields obtained by each displacement estimator with and without STREAL enhancement. Approximate tumor ROI is highlighted in red [11]. AM2D provides a reasonably high-quality image at a very low computational cost. Overall, in all images, the AM2D estimator shows a good ability to clearly show increased stiffness with clear heterogeneity within the tumor. GLUE and SOUL show much smoother versions of the same image in AM2D, while OVERWIND provides only some increase in the stiffness of the ROI. Figure 16 shows a hypothetical image fusion of B-mode and [PERSON]'s modulus generated for Patients 1, 2, and 3 that can be provided in the clinic. The [PERSON]'s modulus images are obtained through the data inversion of displacements computed by the AM2D estimator with STREAL enhancement. Figure 14: Axial strain images of Patient 3 computed from displacement fields obtained by each displacement estimator with and without STREAL enhancement. AM2D provides reasonably high-quality images at a very low computational cost. Figure 15: Lateral strain images of Patient 3 computed from displacement fields obtained by each displacement estimator with and without STREAL enhancement. AM2D with STREAL enhancement provides reasonably high-quality images at a very low computational cost.