Estimation and reduction of decorrelation effect due to tissue lateral displacement in elastography

Jing Bai, Chuxiong Ding, Jianwen Luo, Ping He

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In cross-correlation based elastography, the quality of the strain image is degraded by the distortion of echo waveforms due to tissue axial and lateral displacement. To study the effects of tissue lateral displacement on echo decorrelation, a tissue axial stretching model is developed and a concept called correlation signal-to-noise ratio (CSNR) is introduced to quantify the decorrelation effect due to tissue lateral displacement. A computer simulation based on the tissue stretching model is carried out to study the influence of several important elastographic parameters on echo decorrelation due to tissue lateral displacement. Finally, guided by the CSNR concept, a 2-dimensional (D) spatial comprehensive cross-correlation method is proposed to reduce the decorrelation noise. Results indicate that CSNR can be used as a quality indicator of elastography and the 2-D spatial comprehensive cross-correlation method can effectively reduce the decorrelation noise while slightly decreasing the lateral resolution of the strain image.

Original languageEnglish (US)
Pages (from-to)541-549
Number of pages9
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume49
Issue number5
DOIs
StatePublished - May 2002

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Tissue
cross correlation
Signal to noise ratio
echoes
signal to noise ratios
Correlation methods
Stretching
waveforms
computerized simulation
Computer simulation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Acoustics and Ultrasonics

Cite this

Estimation and reduction of decorrelation effect due to tissue lateral displacement in elastography. / Bai, Jing; Ding, Chuxiong; Luo, Jianwen; He, Ping.

In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 49, No. 5, 05.2002, p. 541-549.

Research output: Contribution to journalArticle

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