Non-linear tissue elasticity: adaptive elasticity imaging for large deformations

Author

Emelianov, Stanislav Y. ; Erkamp, R.Q. ; Lubinski, M.A. ; Skovoroda, A.R. ; O´Donnell, M.

Author_Institution

Biomed. Eng. Dept., Michigan Univ., Ann Arbor, MI, USA

Volume

2

fYear

1998

fDate

1998

Firstpage

1753

Abstract

Ultrasound´s dynamic and interactive (i.e., real-time) nature is it´s major advantage compared to other imaging modalities. For elasticity imaging, real-time data capture provides an excellent foundation for retrospective data processing, including adaptive speckle tracking, incompressibility processing, and adaptive elasticity imaging. In this paper, we explore adaptive imaging of elasticity to estimate nonlinear tissue elasticity. Remote assessment of nonlinear tissue elasticity (i.e., strain hardening) can both increase contrast in elasticity images and present an independent means of tissue differentiation

Keywords

Young´s modulus; biological tissues; biomechanics; biomedical ultrasonics; elasticity; image reconstruction; kidney; medical image processing; motion estimation; stress-strain relations; Young´s modulus; adaptive elasticity imaging; adaptive speckle tracking; image contrast; incompressibility processing; kidney phantom; large deformations; motion estimation; nonlinear tissue elasticity; real-time data capture; remote assessment; tissue differentiation; tissue strain hardening; Biology; Biomedical engineering; Biomedical imaging; Capacitive sensors; Elasticity; Image reconstruction; Imaging phantoms; Strain measurement; Tensile stress; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultrasonics Symposium, 1998. Proceedings., 1998 IEEE

Conference_Location

Sendai

ISSN

1051-0117

Print_ISBN

0-7803-4095-7

Type

conf

DOI

10.1109/ULTSYM.1998.765288

Filename

765288