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The aim of this paper is to propose a new Markov random field (MRF) model for the backscattered ultrasonic echo in order to get information about backscatter characteristics, such as the scatterer density, amplitude and spacing. The model combines the Nakagami distribution that describes the envelope of backscattered echo with spatial interaction using MRF.(More)
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(More)
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(More)
In this paper the Nakagami-MRF model is proposed to model the backscattered echo from tissue and at the same time the spatial interaction found in the image. This paper investigates the efficiency of the model parameters to discriminate between normal and abnormal tissue by comparing the Nakagami-MRF parameters inside and surrounding the tumor. The study of(More)
—In this paper, we introduce a method to build an adapted mesh representation of a 3D object for X-Ray tomogra-phy reconstruction. Using this representation, we provide means to reduce the computational cost of reconstruction by way of iterative algorithms. The adapted sampling of the reconstruction space is directly obtained from the projection dataset and(More)