Title :
Ultrasound tissue characterizationby generalized GAMMA MRF model
Author :
Nizar, B. ; Laugier, P.
Author_Institution :
Lab. U2S, Univ. Tunis El Manar, Tunis, Tunisia
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;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025459
