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Cited by 592

The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.

Novel Bayesian multiscale method for speckle removal in medical ultrasound images

Achim, A., Bezerianos, A., Tsakalides, P.·2001·IEEE Transactions on Medical Imaging

Abstract

A novel speckle suppression method for medical ultrasound images is presented. First, the logarithmic transform of the original image is analyzed into the multiscale wavelet domain. We show that the subband decompositions of ultrasound images have significantly non-Gaussian statistics that are best described by families of heavy-tailed distributions such as the alpha-stable. Then, we design a Bayesian estimator that exploits these statistics. We use the alpha-stable model to develop a blind noise-removal processor that performs a nonlinear operation on the data. Finally, we compare our technique with current state-of-the-art soft and hard thresholding methods applied on actual ultrasound medical images and we quantify the achieved performance improvement.

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Metadata

Authors
Achim, A., Bezerianos, A., & Tsakalides, P.
Venue
IEEE Transactions on Medical Imaging
Published
2001
Volume
20
Issue
8
Pages
772-783
ISSN
0278-0062 (ISSN-L)
OpenAlex
W2111595891
Cited by
592
References
25
FWCI
13.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Novel Bayesian multiscale method for speckle removal in medical ultrasound images. https://app.cochat.ai/papers/10.1109/42.938245
The paper
Achim, A., Bezerianos, A., & Tsakalides, P. (2001). Novel Bayesian multiscale method for speckle removal in medical ultrasound images. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.938245

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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