An autocorrelation-based method for improvement of sub-pixel displacement estimation in ultrasound strain imaging

Seungsoo Kim, Salavat R. Aglyamov, Suhyun Park, Matthew O'Donnell, Stanislav Y. Emelianov

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In ultrasound strain and elasticity imaging, an accurate and cost-effective sub-pixel displacement estimator is required because strain/elasticity imaging quality relies on the displacement SNR, which can often be higher if more computational resources are provided. In this paper, we introduce an autocorrelation-based method to cost-effectively improve subpixel displacement estimation quality. To quantitatively evaluate the performance of the autocorrelation method, simulated and tissue-mimicking phantom experiments were performed. The computational cost of the autocorrelation method is also discussed. The results of our study suggest the autocorrelation method can be used for a real-time elasticity imaging system.

Original languageEnglish
Article number5750105
Pages (from-to)838-843
Number of pages6
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume58
Issue number4
DOIs
StatePublished - Apr 2011

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