Title :
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
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;
Conference_Titel :
Ultrasonics Symposium, 1998. Proceedings., 1998 IEEE
Conference_Location :
Sendai
Print_ISBN :
0-7803-4095-7
DOI :
10.1109/ULTSYM.1998.765288