Wavelet-based speckle noise reduction in ultrasound B-scan images.
Speckle noise is known to be signal-dependent in ultrasound imaging. Hence, separating noise from signal becomes a difficult task. This paper describes a wavelet-based method for reducing speckle noise. We derive from the model of the displayed ultrasound image the optimal wavelet-domain filter in the least mean-square sense. Simulations on synthetic data have been carried out in order to assess the performance of the proposed filter with regards to the classical wavelet shrinkage scheme, while phantom and tissue images have been used for testing it on real data. The results show that the filter effectively reduces the speckle noise while preserving resolvable details.
Rakotomamonjy
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Laboratoire Vision Robotique, Bourges, France. alain.rakoto@bourges.univ-orleans.fr
Deforge
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Marché
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D000465:Algorithms; D002138:Calibration; D006801:Humans; D008099:Liver / Q000000981:diagnostic imaging; D019047:Phantoms, Imaging; D012372:ROC Curve; D012815:Signal Processing, Computer-Assisted; D014463:Ultrasonography / Q000379:methods*