Literature DB >> 26736939

Speckle reduction based on Wiener filter in ultrasound images.

Fabio Baselice, Giampaolo Ferraioli, Angel Caroline Johnsy, Vito Pascazio, Gilda Schirinzi.   

Abstract

In this manuscript, a technique for speckle noise reduction in ultrasound images is presented. The method exploits Wiener filter and is able to take into account spatial correlation among noise samples. With respect to classical Wiener filter approach developed in independence hypothesis, the methodology is able to sensibly improve filtering performances, at the cost of no computational time increase. Results on realistic simulated datasets are reported, showing the effectiveness of the approach.

Mesh:

Year:  2015        PMID: 26736939     DOI: 10.1109/EMBC.2015.7319039

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

1.  A 3D MRI denoising algorithm based on Bayesian theory.

Authors:  Fabio Baselice; Giampaolo Ferraioli; Vito Pascazio
Journal:  Biomed Eng Online       Date:  2017-02-07       Impact factor: 2.819

2.  Effect of despeckling filters on the segmentation of ultrasound common carotid artery images.

Authors:  Vaishali Narendra Naik; R S Gamad; P P Bansod
Journal:  Biomed J       Date:  2021-07-15       Impact factor: 7.892

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.