Characterization of ultrasonic backscatter based on generalized entropy

Author

Smolíková, Renata ; Wachowiak, Mark P. ; Tourass, Georgia D. ; Elmaghraby, Adel ; Zurada, Jacek M.

Author_Institution

Comput. Sci. & Eng. Program, Louisville Univ., KY, USA

Volume

2

fYear

2002

fDate

2002

Firstpage

953

Abstract

This paper presents a novel approach to ultrasound backscatter characterization based on generalized entropy. This approach makes no assumptions about the specific scattering distribution. Low order Renyi and Tsallis entropies have a higher dynamic range than Shannon entropy over a range of scattering conditions, and are therefore useful in estimating scatterer density and regularity. A neural network estimator is constructed to illustrate the validity of this approach.

Keywords

biomedical ultrasonics; entropy; neural nets; speckle; ultrasonic scattering; B-mode scans; RF signal; Tsallis entropy; echo envelope; generalized entropy; low order Renyi entropy; medical diagnostic imaging; neural network estimator; scatterer density; specific scattering distribution; statistical models; ultrasonic backscatter characterization; ultrasonography; Backscatter; Biomedical engineering; Computer science; Density measurement; Dynamic range; Entropy; Rayleigh scattering; Scattering parameters; Speckle; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint

ISSN

1094-687X

Print_ISBN

0-7803-7612-9

Type

conf

DOI

10.1109/IEMBS.2002.1106222

Filename

1106222