… spatial regularization. Although L1-norm continuity constraint was used in tOtal Variation
rEgulaRization … uses the powers of both second-order regularization and L1-norm to devise a …

… The regularisation term consists of the L1-norm of the second spatial derivatives of the
predicted displacement field u. Given that the strain modulus corresponds to the displacement …

… images it with ultrasound. Within many techniques proposed for static elastography, we focus
on freehand … Increasing the regularization weight is adversely affecting spatial resolution. …

… Elastograms of normal breast tissue were formed with the ROF algorithm using the same
regularization factor and number of spatial scales found optimal for phantom data ( …

… To compensate for the anticipated underestimation, we introduce adaptive spatial regularization
terms of the form α(dispi − … As such, the spatial regularization Rs is defined as follows: …

… local regularization is applied to ensure continuity with spatially close estimates characterized
by CC ≥ Th . The threshold Th is set at 0.75, value found to be adapted for the analysis of …

… a data-adaptive regularizer for capturing the spatially variant tissue elasticity pattern. The …
for ultrasound elastography on the basis of FEMs by solving a regularized optimization problem…

… In this study, an improved regularized SWS estimator is presented for CWS, correcting the
subestimation of lesions from the previous version as well as enhancing the spatial resolution. …

… Here, γ is the spatial regularization weight for the first sample(s). R1 and R2 are the first- …
to SOUL with stronger regularization, we increase the regularization parameter values of GLUE …

… ultrasound elastography, reconstruction of tissue elasticity (eg, Young’s modulus) requires
regularization … does not need any regularization or boundary force/displacement information. …