Statistical properties of elastograms

Mehmet Bilgen, Michael Insana

Research output: Contribution to journalArticlepeer-review

Abstract

Accurate and precise displacement estimates are the key to obtaining high-quality elastograms. In elastographic imaging, echo-signals acquired before and after tissue compression are crosscorrelated and the location of the crosscorrelation maximum is used for determining the local tissue displacement and deformation. A stochastic strain model under static compression is discussed, and an inverse coordinate transformation relating the post-compression coordinate to the pre-compressed coordinate is introduced. Analytic formulas for the crosscorrelation are provided and used to analyse stochastic strain-induced effects. Displacement causes decorrelation of the pre- and post-compression signals and consequently results in a nonstationary crosscorrelation function. Adjusting experimental and signal processing variables, such as stretching the post-compression echo-signal and/or shaping the ultrasonic pulse are shown to significantly increase the accuracy of the displacement estimates.

Original languageEnglish (US)
Pages (from-to)1399-1403
Number of pages5
JournalProceedings of the IEEE Ultrasonics Symposium
Volume2
StatePublished - 1995
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint

Dive into the research topics of 'Statistical properties of elastograms'. Together they form a unique fingerprint.

Cite this