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Proceedings Paper

A new Markov random field model based on K-distribution for textured ultrasound image
Author(s): Nizar Bouhlel; Sylvie Sevestre; Hatem Rajhi; Radhi Hamza
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Paper Abstract

The aim of this paper is to propose a new Markov Random Field (MRF) for textured ultrasound image which use is more relevant than the use of the classic MRF, such as the gaussian markovian model. The main difference is that our model is based on κ-distribution. We have built this κ-MRF with reference to the Product Model. This latter means that the observed intensities of ultrasound image are the product of a degraded perfect image by a multiplicative noise called speckle. When the construct of κ-MRF is already described, we propose in this paper a validation on synthetic and medical B-scan textured image. The synthetic textures are obtained by stimulating the κ-MRF. For medical texture, we estimate the parameters of the model from tissues. The estimated parameters are simulated and compared to medical texture. The resemblance is a first validation of the κ-MRF and the tissue can be then characterized by the parameters of the model.

Paper Details

Date Published: 28 April 2004
PDF: 10 pages
Proc. SPIE 5373, Medical Imaging 2004: Ultrasonic Imaging and Signal Processing, (28 April 2004); doi: 10.1117/12.534561
Show Author Affiliations
Nizar Bouhlel, Univ. of Tunis El Manar (Tunisia)
Sylvie Sevestre, Univ. Rene Descartes (France)
Hatem Rajhi, EPS Charles Nicolle (Tunisia)
Radhi Hamza, EPS Charles Nicolle (Tunisia)

Published in SPIE Proceedings Vol. 5373:
Medical Imaging 2004: Ultrasonic Imaging and Signal Processing
William F. Walker; Stanislav Y. Emelianov, Editor(s)

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