Title :
Quantitative elasticity imaging
Author :
O´Donnell, Matthew ; Emelianov, Stanislav Y. ; Skovoroda, A.R. ; Lubinski, M.A. ; Weitzel, William F. ; Wiggins, R.C.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI
fDate :
31 Oct-3 Nov 1993
Abstract :
Quantitative elasticity imaging is investigated for a wide range of gel-based, tissue equivalent phantoms and excised tissue specimens. To do this, strain imaging methods have been developed for very large surface deformations. Images produced by this approach exhibit a high signal to noise ratio (SNR). Results are presented demonstrating both the accuracy and sensitivity of the method for imaging internal strain in models of kidney pathology. In particular, strain images have been used to detect renal scar in a rabbit model of chronic nephritis before any detectable change in kidney function. Finally, reconstruction of the elastic modulus based on these high SNR strain images has been tested. Results on gel-based phantoms indicate that a method based on stress continuity can be used to clearly identify bounded inclusions in an otherwise infinite, homogeneous medium
Keywords :
acoustic imaging; biological techniques and instruments; biomechanics; biomedical ultrasonics; elasticity; kidney; chronic nephritis; excised tissue specimens; gel-based phantoms; gel-based tissue equivalent phantoms; high SNR strain images; internal strain; kidney pathology; quantitative elasticity imaging; rabbit model; renal scar; strain imaging methods; stress continuity; Capacitive sensors; Elasticity; Image reconstruction; Magnetic resonance imaging; Signal to noise ratio; Speckle; Strain measurement; Tracking; Ultrasonic imaging; Ultrasonic variables measurement;
Conference_Titel :
Ultrasonics Symposium, 1993. Proceedings., IEEE 1993
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-2012-3
DOI :
10.1109/ULTSYM.1993.339662
