Reconstructive ultrasound elasticity imaging for renal pathology detection

Author

Emelianov, S.Y. ; Lubinski, M.A. ; Skovoroda, A.R. ; Erkamp, R.Q. ; Leavey, S.F. ; Wiggins, R.C. ; O´Donnell, M.

Author_Institution

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

Volume

2

fYear

1997

fDate

5-8 Oct 1997

Firstpage

1123

Abstract

The real-time capability of ultrasound is it´s major advantage for reconstructive elasticity imaging. In addition to providing important immediate feedback during patient examination, real-time data capture provides an excellent means for retrospective data processing. With retrospective processing, normal axial strain images can be optimized for highest SNR, the accuracy of lateral displacement estimates can be improved, and finally, non-linear elastic properties of tissue can be evaluated resulting in contrast enhancement of elasticity imaging. Retrospective processing requires no new data capture and adds new important features to reconstructive ultrasound elasticity imaging

Keywords

biomechanics; biomedical ultrasonics; elasticity; image enhancement; image reconstruction; kidney; medical image processing; lateral displacement estimates accuracy improvement; medical diagnostic imaging; normal axial strain images; patient examination; real-time data capture; reconstructive ultrasound elasticity imaging; renal pathology detection; retrospective data processing; tissue nonlinear elastic properties; Biomedical imaging; Capacitive sensors; Data processing; Elasticity; Feedback; Image reconstruction; Pathology; Signal to noise ratio; Speckle; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultrasonics Symposium, 1997. Proceedings., 1997 IEEE

Conference_Location

Toronto, Ont.

ISSN

1051-0117

Print_ISBN

0-7803-4153-8

Type

conf

DOI

10.1109/ULTSYM.1997.661776

Filename

661776