Ultrasound Backscatter Characterization by Using Markov Random Field Model

Author

Bouhlel, Nizar ; Sevestre-Ghalila, S. ; Jaidane, M. ; Graffigne, C.

Author_Institution

Lab. MAP5, Univ. Rene Descartes, Paris

Volume

2

fYear

2006

fDate

14-19 May 2006

Abstract

This paper evaluates a K-Markov random field model for retrieving information about backscatter characteristics, especially regularity spacing scatterers in simulated ultrasound image. The model combines a statistical K-distribution that describes the envelope of backscattered echo and spatial interaction given by Markov random field (MRF). Parameters estimated by the conditional least squares (CLS) estimation method on simulated radio-frequency (RF) envelope image show that the interaction parameters measure the degree of the randomness of the scatterers

Keywords

Markov processes; backscatter; biomedical ultrasonics; least squares approximations; statistical distributions; Markov random field model; RF envelope image; conditional least squares estimation; radio-frequency envelope image; statistical K-distribution; ultrasound backscatter characterization; ultrasound image; Backscatter; Image retrieval; Information retrieval; Least squares approximation; Markov random fields; Parameter estimation; Radio frequency; Scattering; Ultrasonic imaging; Ultrasonic variables measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on

Conference_Location

Toulouse

ISSN

1520-6149

Print_ISBN

1-4244-0469-X

Type

conf

DOI

10.1109/ICASSP.2006.1660545

Filename

1660545