Higher order versus second order statistics in ultrasound image deconvolution

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

Research output: Contribution to journalArticlepeer-review

26 Scopus citations


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 HOS-based distortion estimates led to significantly higher resolution gains as compared to the gains achieved when SOS-based distortion estimates were used.

Original languageEnglish (US)
Pages (from-to)1409-1416
Number of pages8
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Issue number6
StatePublished - 1997
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Higher order versus second order statistics in ultrasound image deconvolution'. Together they form a unique fingerprint.

Cite this