Acoustic elastography under dynamic compression using one-dimensional track motion

This work provides an detailed analysis of a method for ultrasound-based elasticity image formation using dynamic compression technique. Radiofrequency (RF) data acquired from a homogenous phantom, where both mechanical and acoustic proprieties were set equivalent to biologic tissues, were used to validate our results. Local strains were obtained by speckle tracking of the acoustic scatterers motion between a pair of RF echo fields acquired when the phantom was dynamically deformed at low frequency (ap 1 Hz). In this work we investigated the dynamic compression technique as an alternate to the conventional quasi-static compression. In particular, we studied the improvement on strain estimation by varying the size of 1-D kernel during the tracking between the pre- and pos-deformed RF fields.