Title :
Lateral displacement estimation using tissue incompressibility
Author :
Lubinski, Mark A. ; Emelianov, Stanislav Y. ; Raghavan, K.R. ; Yagle, Andrew E. ; Skovoroda, Andrei R. ; O´Donnell, Matthew
Author_Institution :
Dept. of Electr. Eng., Michigan Univ., Ann Arbor, MI, USA
fDate :
3/1/1996 12:00:00 AM
Abstract :
Using the incompressibility property of soft tissue, lateral displacements can be reconstructed from axial strain measurements. Results of simulations and experiments on gelatin-based tissue equivalent phantoms are compared with theoretical displacements, as well as estimates derived from traditional speckle tracking. Incompressibility processing greatly improves the accuracy and signal-to-noise ratio (SNR) of lateral displacement measurements compared with more traditional speckle tracking.
Keywords :
biomechanics; biomedical measurement; biomedical ultrasonics; displacement measurement; medical signal processing; signal reconstruction; strain measurement; accuracy; axial strain measurements; gelatin-based tissue equivalent phantoms; lateral displacement estimation; signal-to-noise ratio; simulations; soft tissue; speckle tracking; tissue incompressibility; ultrasound B-scan image; Anisotropic magnetoresistance; Biological tissues; Capacitive sensors; Displacement measurement; Image reconstruction; Optical imaging; Signal to noise ratio; Speckle; Ultrasonic imaging; Ultrasonic variables measurement;
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
