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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • 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

  • Volume of the periodical

  • Issue of the periodical within the volume

    7

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    26

  • Pages from-to

  • UT code for WoS article

    000835328600005

  • EID of the result in the Scopus database