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

18 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

Bibliographical note

Funding Information:
Manuscript received october 16, 2009; accepted January 13, 2011. This work was supported in part by national Institutes of Health under Grant EB 004963 and Hl 091609. s. Kim, s. r. aglyamov, and s. y. Emelianov are with the University of Texas, Biomedical Engineering department, austin, TX (e-mail: kim.seungsoo@mail.utexas.edu). s. park is with GE Global research, Ultrasound and Biomedical Imaging laboratory, niskayuna, ny. M. o’donnell is with the University of Washington, Bioengineering department, seattle, Wa. digital object Identifier 10.1109/TUFFc.2011.1876

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