… In the inference stage, we use dynamic programming (DP) to compute an initial displacement
estimate of around 1% of the samples and then decompose this sparse displacement into …

… and datadriven methodology for ultrasound elastography on the basis of FEMs by solving
a regularized optimization problem. The proposed approach introduces an explicit integrated …

… [7] CS Park, SH Kim, NY Jung, JJ Choi, BJ Kang, and HS Jung, "Interobserver variability of
ultrasound elastography and the ultrasound BIRADS lexicon of breast lesions," Breast Cancer…

… This yields the same result that we could have had if we run dynamic programming (DP).
The advantage of using PCA is that we could compute the same initial displacement image …

… steps of quasi-static ultrasound elastography, which detects tissue … dynamic programming
(DP) [30], [41] and analytic optimization-based techniques such as dynamic programming …

… constraint with an optical flow-based approach to devise a direct strain estimation … by dynamic
programming (DP) [45]. We name our technique Second-Order Ultrasound eLastography (…

… , the block matching method and zero phase method are improved and combined. We propose
a novel displacement estimation method for real time tissue ultrasound elastography and …

… The main idea of the optimization-based methods is to determine an initial coarse
estimation, usually by dynamic programming (DP) [8], followed by minimizing a regularized cost …

… elastography. One of the biggest challenges to the wide adoption of deep learning in ultrasound
elastography is … Along this line, Second-order Ultrasound Elastography (SOUL) 9 has …

… (RF) frames is a pivotal step of ultrasound elastography, which depicts tissue mechanical
properties to identify pathologies. Due to ultrasound’s poor ability to capture information …