Ultrasound tissue characterizationby generalized GAMMA MRF model

Author

Nizar, B. ; Laugier, P.

Author_Institution

Lab. U2S, Univ. Tunis El Manar, Tunis, Tunisia

fYear

2014

fDate

27-30 Oct. 2014

Firstpage

2266

Lastpage

2270

Abstract

In this paper we present a Markov Random Field (MRF) texture model for Radio-Frequency (RF) ultrasound data. The model is characterized by a set of parameters representing a powerful feature descriptor for the ultrasound envelope data. It combines the generalized gamma distribution (GGD) that describes global statistics of the envelope of backscattered echo with a local spatial interaction using MRF. We first construct the generalized gamma-MRF (GG-MRF) model and illustrate the role of its parameters. Applicability and performance are demonstrated on Choroidal melanoma.

Keywords

Markov processes; biomedical ultrasonics; feature extraction; gamma distribution; image texture; medical image processing; random processes; tumours; Choroidal melanoma; Markov random field texture model; feature descriptor; generalized gamma MRF model; generalized gamma distribution; radio-frequency ultrasound data; ultrasound tissue characterization; Acoustics; Breast; Mathematical model; Nakagami distribution; Radio frequency; Tumors; Ultrasonic imaging; Choroidal melanoma; GG-MRF; Ultrasound texture characterization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2014 IEEE International Conference on

Conference_Location

Paris

Type

conf

DOI

10.1109/ICIP.2014.7025459

Filename

7025459