An information-theoretic approach to estimating ultrasound backscatter characteristics

Analysis of backscatter in the ultrasound echo envelope, in conjunction with ultrasound B-scans, can provide important information for tissue characterization and pathology diagnosis. Statistical models have often proven useful in modeling backscatter. In this paper, an innovative approach to backsc...

Full description

Saved in:
Bibliographic Details
Published in:Computers in biology and medicine 2004-06, Vol.34 (4), p.355-370
Main Authors: Smolı́ková, Renata, Wachowiak, Mark P., Zurada, Jacek M.
Format: Article
Language:English
Subjects:
Backscatter analysis
Computer applications
Entropy
Information Theory
Models, Theoretical
Neural Networks (Computer)
Renyi entropy
Speckle
Tsallis entropy
Ultrasonography
Ultrasound
Ultrasound images
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Analysis of backscatter in the ultrasound echo envelope, in conjunction with ultrasound B-scans, can provide important information for tissue characterization and pathology diagnosis. Statistical models have often proven useful in modeling backscatter. In this paper, an innovative approach to backscatter analysis based on generalized entropies and neural function approximation is presented. Entropy measures are shown to provide accurate estimates of scatterer density, regularity, and SNR of the amplitude distribution. Specific scattering distributions need not be assumed. Experimental results on ground truth envelopes show that generalized entropies can be used to accurately estimate backscatter properties.
ISSN:0010-4825
1879-0534
DOI:10.1016/S0010-4825(03)00072-6