NEW MARKOV RANDOM FIELD MODEL BASED ON NAKAGAMI DISTRIBUTION FOR MODELING ULTRASOUND RF ENVELOPE

Nizar Bouhlel (1) , Sylvie Sevestre-Ghalila (1) , Christine Graffigne (1)

1 MAP5 - UMR 8145 - Mathématiques Appliquées Paris 5

The aim of this paper is to propose a new Markov Random Field (MRF) model for the backscattered ultrasonic echo in order to retrieve information about backscatter characteristics, such as the density, the scatterer amplitude, the scatterer spacing and the direction of interaction. The model combines the Nakagami distribution that describes the envelope of backscattered echo with spatial interaction using MRF.We first construct the Nakagami-MRF model and illustrate the role of its parameters by some synthetic simulations. Then, to enhance the ability of this MRF model to retrieve information on the spatial backscatter distribution, we compare the parameter values estimated on simulated radio-frequency (RF) envelope image for different tissue scatterers characteristics (density, amplitude, spacing, spatial orientation). It follows that the first parameter is related to the density and the amplitude, and, the interaction parameters are related to the scatterer spacing and the orientation.

Domains: Signal and Image processing; Probability [math.PR]; Signal and Image Processing

Nizar Bouhlel, Sylvie Sevestre-Ghalila, Christine Graffigne. NEW MARKOV RANDOM FIELD MODEL BASED ON NAKAGAMI DISTRIBUTION FOR MODELING ULTRASOUND RF ENVELOPE. 14th European Signal Processing Conference, Sep 2006, France. pp.1568982397. ⟨hal-00174137⟩