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Ultrasound imaging is a widely used and safe medical diagnostic technique; however, the usefulness of ultrasound imaging is degraded by the presence of signal dependant noise known as speckle. In this paper, we propose a new speckle reduction method and coherence enhancement of ultrasound images based on method that combines total variation (TV) method and wavelet shrinkage. In our method, a noisy...
In a standard ultrasound imaging, the radio-frequency (RF) backscattered signals are decimated to get a medical image. The RF signal carries information about the scattering structure. Analysis of the RF signals may get useful clinical information for the tissue characterization. In this paper, the approach that is wavelet packets (WP) decomposition of I/Q ultrasound signals was proposed to gain the...
Ultrasound (US) images are degraded by speckle noise that reduces the contrast and details of images. But the effective method for speckle noise reduction with keeping edge has been still a challenging point. Coherence measurement has been used to distinguish homogeneous region and coherence regions, e.g. edges, and the edge map obtained from coherence measurement has limitation such as noisy or discontinued...
We proposed a method of block wavelet shrinkage (BW-Shrink) to improve the strain visualization of microwave-induced lesion by denoising the estimated displacements. The proposed method adaptively approaches the elastogrpahic noise distribution by applying wavelet shrinkage in group of local blocks respectively. The blocks are conjunctive to each other to cover the whole region of interest (ROI)....
Speckle noise suppression is a prerequisite task in order to maintain the diagnostic potential of ultrasound imaging. Among various despeckling methods, there exists a class which transforms the multiplicative speckle noise to the additive through a logarithmic transformation. In most of such studies, it is assumed that the samples of the multiplicative noise are mutually uncorrelated and they obey...
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