Higher Order Versus Second Order Statistics in Ultrasound Image Deconvolution

Udantha R. Abeyratne, Athina P. Petropulu, John M. Reid, Thomas Golas, Emily Conant, and Flemming Forsberg

ABSTRACT We recently proposed a method for the estimation of imaging distortions associated with ultrasound images, based on the higher-order statistics (HOS) of radio frequency data. In this correspondence, we utilize the HOS-based estimated distortions to deconvolve ultrasound images of the breast. We also estimate imaging distortions based on the second-order statistics (SOS) of radio frequency ultrasound data and subsequently utilize them to deconvolve the same breast images. Both subjective and objective measures suggest that deconvolution with HOSbased distortion estimates led to significantly higher resolution gains as compared to the gains achieved when SOSbased distortion estimates were used.

1997 IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 44:1409-1416

© 1997 by The Institute of Electrical and Electronics Engineers, Inc. All rights reserved.

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