A new Markov random field model based on K-distribution for textured ultrasound image

Nizar Bouhlel; Sylvie Sevestre; Hatem Rajhi; Radhi Hamza

doi:10.1117/12.534561

28 April 2004 A new Markov random field model based on κ-distribution for textured ultrasound image

Nizar Bouhlel, Sylvie Sevestre, Hatem Rajhi, Radhi Hamza

Proceedings Volume 5373, Medical Imaging 2004: Ultrasonic Imaging and Signal Processing; (2004) https://doi.org/10.1117/12.534561
Event: Medical Imaging 2004, 2004, San Diego, California, United States

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.

Citation Download Citation

Nizar Bouhlel, Sylvie Sevestre, Hatem Rajhi, and Radhi Hamza "A new Markov random field model based on κ-distribution for textured ultrasound image", Proc. SPIE 5373, Medical Imaging 2004: Ultrasonic Imaging and Signal Processing, (28 April 2004); https://doi.org/10.1117/12.534561

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