A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images

Medical imaging can help doctors in better diagnosis of several conditions. During the present COVID-19 pandemic, timely detection of novel coronavirus is crucial, which can help in curing the disease at an early stage. Image enhancement techniques can improve the visual appearance of COVID-19 CT sc...

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Detalles Bibliográficos
Autores principales: Mirza, Muhammad Waqar, Siddiq, Asif, Khan, Ishtiaq Rasool
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037579/
https://www.ncbi.nlm.nih.gov/pubmed/35493403
http://dx.doi.org/10.1007/s11760-022-02214-2
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author Mirza, Muhammad Waqar
Siddiq, Asif
Khan, Ishtiaq Rasool
author_facet Mirza, Muhammad Waqar
Siddiq, Asif
Khan, Ishtiaq Rasool
author_sort Mirza, Muhammad Waqar
collection PubMed
description Medical imaging can help doctors in better diagnosis of several conditions. During the present COVID-19 pandemic, timely detection of novel coronavirus is crucial, which can help in curing the disease at an early stage. Image enhancement techniques can improve the visual appearance of COVID-19 CT scans and speed-up the process of diagnosis. In this study, we analyze some state-of-the-art image enhancement techniques for their suitability in enhancing the CT scans of COVID-19 patients. Six quantitative metrics, Entropy, SSIM, AMBE, PSNR, EME, and EMEE, are used to evaluate the enhanced images. Two experienced radiologists were involved in the study to evaluate the performance of the enhancement techniques and the quantitative metrics used to assess them.
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spelling pubmed-90375792022-04-26 A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images Mirza, Muhammad Waqar Siddiq, Asif Khan, Ishtiaq Rasool Signal Image Video Process Original Paper Medical imaging can help doctors in better diagnosis of several conditions. During the present COVID-19 pandemic, timely detection of novel coronavirus is crucial, which can help in curing the disease at an early stage. Image enhancement techniques can improve the visual appearance of COVID-19 CT scans and speed-up the process of diagnosis. In this study, we analyze some state-of-the-art image enhancement techniques for their suitability in enhancing the CT scans of COVID-19 patients. Six quantitative metrics, Entropy, SSIM, AMBE, PSNR, EME, and EMEE, are used to evaluate the enhanced images. Two experienced radiologists were involved in the study to evaluate the performance of the enhancement techniques and the quantitative metrics used to assess them. Springer London 2022-04-25 2023 /pmc/articles/PMC9037579/ /pubmed/35493403 http://dx.doi.org/10.1007/s11760-022-02214-2 Text en © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Mirza, Muhammad Waqar
Siddiq, Asif
Khan, Ishtiaq Rasool
A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images
title A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images
title_full A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images
title_fullStr A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images
title_full_unstemmed A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images
title_short A comparative study of medical image enhancement algorithms and quality assessment metrics on COVID-19 CT images
title_sort comparative study of medical image enhancement algorithms and quality assessment metrics on covid-19 ct images
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9037579/
https://www.ncbi.nlm.nih.gov/pubmed/35493403
http://dx.doi.org/10.1007/s11760-022-02214-2
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