Multi-frame elastography using a handheld force-controlled ultrasound probe

Andrey Kuzmin, Aaron M. Zakrzewski, Brian W. Anthony, Victor Lempitsky

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)

    Abstract

    We propose a new method for strain field estimation in quasi-static ultrasound elastography based on matching RF data frames of compressed tissues. The method benefits from using a handheld force-controlled ultrasound probe, which provides the contact force magnitude and therefore improves repeatability of displacement field estimation. The displacement field is estimated in a two-phase manner using triplets of RF data frames consisting of a pre-compression image and two post-compression images obtained with lower and higher compression ratios. First, a reliable displacement field estimate is calculated for the first post-compression frame. Second, we use this displacement estimate to warp the second post-compression frame while using linear elasticity to obtain an initial approximation. Final displacement estimation is refined using the warped image. The two-phase displacement estimation allows for higher compression ratios, thus increasing the practical resolution of the strain estimates. The strain field is computed from a displacement field using a smoothness- regularized energy functional, which takes into consideration local displacement estimation quality. The minimization is performed using an efficient primal-dual hybrid gradient algorithm, which can leverage the architecture of a graphical processing unit. The method is quantitatively evaluated using finite element simulations. We compute strain estimates for tissue-mimicking phantoms with known elastic properties and finally perform a qualitative validation using in vivo patient data.

    Original languageEnglish
    Article number7185015
    Pages (from-to)1486-1500
    Number of pages15
    JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
    Volume62
    Issue number8
    DOIs
    Publication statusPublished - 1 Aug 2015

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