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Real time ultrasound image denoising

Fernanda Palhano Xavier de Fontes, Guillermo Andrade Barroso, Pierrick Coupe, Pierre Hellier
INRIA Centre de Recherche Rennes Bretagne Atlantique, 35042 Rennes Cedex, France
Journal of Real-Time Image Processing (13 May 2010)

@article{palhanoreal,

   title={Real time ultrasound image denoising},

   author={Palhano Xavier de Fontes, F. and Andrade Barroso, G. and Coup{‘e}, P. and Hellier, P.},

   journal={Journal of Real-Time Image Processing},

   pages={1–8},

   issn={1861-8200},

   publisher={Springer}

}

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Image denoising is the process of removing the noise that perturbs image analysis methods. In some applications like segmentation or registration, denoising is intended to smooth homogeneous areas while preserving the contours. In many applications like video analysis, visual servoing or image-guided surgical interventions, real-time denoising is required. This paper presents a method for real-time denoising of ultrasound images: a modified version of the NL-means method is presented that incorporates an ultrasound dedicated noise model, as well as a GPU implementation of the algorithm. Results demonstrate that the proposed method is very efficient in terms of denoising quality and is real-time.
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