Title :
Generalized Bayesian speckle tracking applied to strain and ARFI displacements
Author :
Byram, Brett ; Trahey, Gregg ; Palmeri, Mark
Author_Institution :
Dept. of Biomed. Eng., Duke Univ., Durham, NC, USA
Abstract :
Biased estimators with mean square error surpassing that described by the Cramer-Rao lower bound are implemented using Bayes´ Theorem. In order to use Bayes´ Theorem a new likelihood function was developed specifically for the ultrasound time-delay estimation problem. Results are shown for bulk, step, compression, and ARFI displacements.
Keywords :
Bayes methods; biomedical ultrasonics; speckle; ultrasonic measurement; ARFI displacement; Cramer-Rao lower bound; biased estimators; generalized Bayesian speckle tracking; likelihood function; mean square error; strain displacement; ultrasound time-delay estimation problem; Frequency response; Kernel; Maximum likelihood estimation; Signal to noise ratio; Strain; Thermal noise;
Conference_Titel :
Ultrasonics Symposium (IUS), 2011 IEEE International
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4577-1253-1
DOI :
10.1109/ULTSYM.2011.0283
