Ultrasound Backscatter characterization by using Markov random field model

Abstract : 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 estimated by the conditional least squares (CLS) estimation method on simulated radio-frequency (RF) envelope image show that the interaction parameters measure the degree of the randomness of the scatterers.
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Communication dans un congrès
IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006, Toulouse, France. 2, pp.1124-1127, 2006
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Contributeur : Nizar Bouhlel <>
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  • HAL Id : hal-00173925, version 1

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Nizar Bouhlel, Sylvie Sevestre-Ghalila, Mériem Jaidane, Christine Graffigne. Ultrasound Backscatter characterization by using Markov random field model. IEEE International Conference on Acoustics, Speech and Signal Processing, May 2006, Toulouse, France. 2, pp.1124-1127, 2006. <hal-00173925>

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