11 April 2002 Ultrasound image filtering using the mutiplicative model
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Ultrasound images, as a special case of coherent images, are normally corrupted with multiplicative noise i.e. speckle noise. Speckle noise reduction is a difficult task due to its multiplicative nature, but good statistical models of speckle formation are useful to design adaptive speckle reduction filters. In this article a new statistical model, emerging from the Multiplicative Model framework, is presented and compared to previous models (Rayleigh, Rice and K laws). It is shown that the proposed model gives the best performance when modeling the statistics of ultrasound images. Finally, the parameters of the model can be used to quantify the extent of speckle formation; this quantification is applied to adaptive speckle reduction filter design. The effectiveness of the filter is demonstrated on typical in-vivo log-compressed B-scan images obtained by a clinical ultrasound system.
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Hugo Navarrete, Hugo Navarrete, Alejandro C. Frery, Alejandro C. Frery, Fermin Sanchez, Fermin Sanchez, Joan Anto, Joan Anto, } "Ultrasound image filtering using the mutiplicative model", Proc. SPIE 4687, Medical Imaging 2002: Ultrasonic Imaging and Signal Processing, (11 April 2002); doi: 10.1117/12.462171; https://doi.org/10.1117/12.462171


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