Title :
Spatial resolution in elasticity imaging
Author :
Liu, Jie ; Insana, Michael F.
Author_Institution :
Dept. of Biomed. Eng., California Univ., Davis, CA, USA
Abstract :
Thus far, spatial resolution in elasticity imaging has been addressed empirically. No clear analytical approaches have emerged because the estimators are nonlinear in the data and signals are time-variant and nonstationary. This paper describes a linear systems approach based on a small-strain impulse approximation that results in the derivation of a local impulse response (LIR) and modulation transfer function (MTF). Closed-form solutions for the strain LIR provide new insights with respect to the effects of instrumentation on axial resolution for strain imaging. Phantom measurements are used to validate results. We found that the correlation window determined axial resolution in most practical situations but that the same system properties that determine B-mode resolution ultimately limit elasticity imaging.
Keywords :
elasticity; image resolution; optical transfer function; phantoms; ultrasonic imaging; B-mode resolution; axial resolution; elasticity imaging; linear systems approach; local impulse response; modulation transfer function; phantom measurements; small-strain impulse approximation; spatial resolution; strain imaging; Capacitive sensors; Closed-form solution; Elasticity; Image resolution; Imaging phantoms; Instruments; Linear systems; Signal analysis; Spatial resolution; Transfer functions;
Conference_Titel :
Ultrasonics, 2003 IEEE Symposium on
Print_ISBN :
0-7803-7922-5
DOI :
10.1109/ULTSYM.2003.1293290