|Department of Engineering|
|University of Cambridge > Engineering Department > Machine Intelligence Lab|
ESTIMATION OF DISPLACEMENT LOCATION FOR ENHANCED STRAIN IMAGING
Joel E. Lindop, Graham M. Treece, Andrew H. Gee and Richard W. Prager
Ultrasonic strain imaging is usually based on displacement estimates computed using finite-length sections of the RF ultrasound signal. Amplitude variations in the ultrasound are known to cause a perturbation in the location at which the displacement estimate is valid. If this goes uncorrected, it is an important source of estimation noise, which is amplified when the displacement field is converted into a strain image. We present a study of this effect based on theoretical analysis and practical experiments. A correction method based on the analysis is tested on phase and correlation coefficient strain imaging, and compared to the log compression technique from an earlier study. The performance is also compared against adaptive strain estimation. Results indicate that the new correction yields a substantial reduction in estimation noise.
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2005 Cambridge University Engineering Dept
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