Comparative analysis of wavelet transform filtering systems for noise reduction in ultrasound images

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/61989100:27240/22:10250603

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Comparative analysis of wavelet transform filtering systems for noise reduction in ultrasound images

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Comparative analysis of wavelet transform filtering systems for noise reduction in ultrasound images

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

30400 - Medical biotechnology

Projekt

<a href="/cs/project/EF17_049%2F0008441" target="_blank" >EF17_049/0008441: Inovativní léčebné metody pohybového aparátu v úrazové chirurgii</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Plos One

ISSN

1932-6203

e-ISSN

—

Svazek periodika

—

Číslo periodika v rámci svazku

7

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

26

Strana od-do

—

Kód UT WoS článku

000835328600005

EID výsledku v databázi Scopus

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