Comparative evaluation of wavefront coherence imaging methods in the presence of clutter


Journal Article

There are a number of mechanisms that contribute to poor image quality in ultrasonic imaging. Numerous algorithms have been designed to compensate for phase aberrations, but recently it was shown that reverberation clutter plays a significant role in degrading image quality. We have developed a novel imaging technique that is capable of differentiating ultrasonic signals corrupted by clutter, named Short-Lag Spatial Coherence (SLSC) imaging. The method relies of the spatial coherence of the echo wavefronts. Ultrasound images from a full-wave, nonlinear wave propagation simulation of low contrast lesions were used to demonstrate our coherence imaging method and compare it images generated by methods such as the generalized coherence factor (GCF) and the wavefront similarity factor (WSF). Signal-to-clutter ratio (SCR) of the images were adjusted via impedance mismatch of the intervening abdominal layer in the simulation. Results demonstrate that SLSC imaging yielded better contrast-to-noise ratio than B-mode, GCF, and WSF. When phase aberration was removed, all coherence imaging methods demonstrated stable CNR as a function of SCR, while B-mode imaging degraded linearly with decreasing SCR. In vivo images of a human carotid artery show superior visualization of carotid anatomy with the coherence imaging methods, however SLSC imaging yielded superior contrast and CNR of targets over all other imaging methods. © 2011 IEEE.

Full Text

Duke Authors

Cited Authors

  • Dahl, JJ; Trahey, GE

Published Date

  • December 1, 2011

Published In

Start / End Page

  • 1977 - 1980

Electronic International Standard Serial Number (EISSN)

  • 1948-5727

International Standard Serial Number (ISSN)

  • 1948-5719

Digital Object Identifier (DOI)

  • 10.1109/ULTSYM.2011.0492

Citation Source

  • Scopus