Estimation of displacement vectors and strain tensors in elastography using angular insonifications

  • U. Techavipoo
  • , Q. Chen
  • , T. Varghese
  • , J. A. Zagzebski

Producción científica: Articlerevisión exhaustiva

103 Citas (Scopus)

Resumen

In current practice, only one out of three components of the tissue displacement vector and one of nine components of the strain tensor are accurately estimated and imaged in ultrasound elastography. Since, only the axial component of both the displacement and strain are imaged, other important elastic parameters, such as shear strains and the Poisson's ratio, also are not imaged. Moreover, reconstruction of the Young's modulus would be significantly improved if all components of the strain tensor were available. In this paper, we describe a new method for estimating all the components of the tissue displacement vector following a quasi-static compression. The method uses displacements estimated from radiofrequency echo-signals along multiple ultrasound beam insonification directions. At each spatial location in the compressed medium, orthogonal tissue displacements in both the axial and lateral direction with respect to the direction of the applied compression are estimated by curve fitting angular displacement vector data calculated for all insonification directions. Following displacement estimation in orthogonal directions, components of the corresponding normal and shear strain tensors are estimated. Simulation and experimental results demonstrate the utility of this technique for the computation of the normal and shear strain tensors.

Idioma originalEnglish
Páginas (desde-hasta)1479-1489
Número de páginas11
PublicaciónIEEE Transactions on Medical Imaging
Volumen23
N.º12
DOI
EstadoPublished - dic 2004

Nota bibliográfica

Funding Information:
Manuscript received March 5, 2004; revised July 27, 2004. This work was supported in part by the Wisconsin Alumni Research Foundation (WARF) and in part by the National Institutes of Health (NIH) under Grant R21 EB003853 and Grant 1R21EB002722. The work of T. Varghese was supported in part by start-up grant funds from the University of Wisconsin-Madison. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was M. Insana. Asterisk indicates corresponding author.

Financiación

Manuscript received March 5, 2004; revised July 27, 2004. This work was supported in part by the Wisconsin Alumni Research Foundation (WARF) and in part by the National Institutes of Health (NIH) under Grant R21 EB003853 and Grant 1R21EB002722. The work of T. Varghese was supported in part by start-up grant funds from the University of Wisconsin-Madison. The Associate Editor responsible for coordinating the review of this paper and recommending its publication was M. Insana. Asterisk indicates corresponding author.

FinanciadoresNúmero del financiador
National Institutes of Health (NIH)1R21EB002722
National Institute of Biomedical Imaging and BioengineeringR21EB003853
Wisconsin Alumni Research Foundation
University of Wisconsin-Madison

    ASJC Scopus subject areas

    • Software
    • Radiological and Ultrasound Technology
    • Computer Science Applications
    • Electrical and Electronic Engineering

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