Comparative analysis of wavelet transform filtering systems for noise reduction in ultrasound images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17110%2F22%3AA2302GAU" target="_blank" >RIV/61988987:17110/22:A2302GAU - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/22:10250603
Result on the web
<a href="https://www.webofscience.com/wos/woscc/full-record/WOS:000835328600005" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:000835328600005</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1371/journal.pone.0270745" target="_blank" >10.1371/journal.pone.0270745</a>
Alternative languages
Result language
angličtina
Original language name
Comparative analysis of wavelet transform filtering systems for noise reduction in ultrasound images
Original language description
Wavelet transform (WT) is a commonly used method for noise suppression and feature extraction from biomedical images. The selection of WT system settings significantly affects the efficiency of denoising procedure. This comparative study analyzed the efficacy of the proposed WT system on real 292 ultrasound images from several areas of interest. The study investigates the performance of the system for different scaling functions of two basic wavelet bases, Daubechies and Symlets, and their efficiency on images artificially corrupted by three kinds of noise. To evaluate our extensive analysis, we used objective metrics, namely structural similarity index (SSIM), correlation coefficient, mean squared error (MSE), peak signal-to-noise ratio (PSNR) and universal image quality index (Q-index). Moreover, this study includes clinical insights on selected filtration outcomes provided by clinical experts. The results show that the efficiency of the filtration strongly depends on the specific wavelet system setting, type of ultrasound data, and the noise present. The findings presented may provide a useful guideline for researchers, software developers, and clinical professionals to obtain high quality images.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
30400 - Medical biotechnology
Result continuities
Project
<a href="/en/project/EF17_049%2F0008441" target="_blank" >EF17_049/0008441: Innovative therapeutic methods of musculoskeletal system in accident surgery</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Plos One
ISSN
1932-6203
e-ISSN
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Volume of the periodical
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Issue of the periodical within the volume
7
Country of publishing house
US - UNITED STATES
Number of pages
26
Pages from-to
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UT code for WoS article
000835328600005
EID of the result in the Scopus database
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