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Automated processing of thermal imaging to detect COVID-19

Rapid and sensitive screening tools for SARS-CoV-2 infection are essential to limit the spread of COVID-19 and to properly allocate national resources. Here, we developed a new point-of-care, non-contact thermal imaging tool to detect COVID-19, based on advanced image processing algorithms. We captu...

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Autores principales: Brzezinski, Rafael Y., Rabin, Neta, Lewis, Nir, Peled, Racheli, Kerpel, Ariel, Tsur, Avishai M., Gendelman, Omer, Naftali-Shani, Nili, Gringauz, Irina, Amital, Howard, Leibowitz, Avshalom, Mayan, Haim, Ben-Zvi, Ilan, Heller, Eyal, Shechtman, Liran, Rogowski, Ori, Shenhar-Tsarfaty, Shani, Konen, Eli, Marom, Edith M., Ironi, Avinoah, Rahav, Galia, Zimmer, Yair, Grossman, Ehud, Ovadia-Blechman, Zehava, Leor, Jonathan, Hoffer, Oshrit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410809/
https://www.ncbi.nlm.nih.gov/pubmed/34471180
http://dx.doi.org/10.1038/s41598-021-96900-9
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author Brzezinski, Rafael Y.
Rabin, Neta
Lewis, Nir
Peled, Racheli
Kerpel, Ariel
Tsur, Avishai M.
Gendelman, Omer
Naftali-Shani, Nili
Gringauz, Irina
Amital, Howard
Leibowitz, Avshalom
Mayan, Haim
Ben-Zvi, Ilan
Heller, Eyal
Shechtman, Liran
Rogowski, Ori
Shenhar-Tsarfaty, Shani
Konen, Eli
Marom, Edith M.
Ironi, Avinoah
Rahav, Galia
Zimmer, Yair
Grossman, Ehud
Ovadia-Blechman, Zehava
Leor, Jonathan
Hoffer, Oshrit
author_facet Brzezinski, Rafael Y.
Rabin, Neta
Lewis, Nir
Peled, Racheli
Kerpel, Ariel
Tsur, Avishai M.
Gendelman, Omer
Naftali-Shani, Nili
Gringauz, Irina
Amital, Howard
Leibowitz, Avshalom
Mayan, Haim
Ben-Zvi, Ilan
Heller, Eyal
Shechtman, Liran
Rogowski, Ori
Shenhar-Tsarfaty, Shani
Konen, Eli
Marom, Edith M.
Ironi, Avinoah
Rahav, Galia
Zimmer, Yair
Grossman, Ehud
Ovadia-Blechman, Zehava
Leor, Jonathan
Hoffer, Oshrit
author_sort Brzezinski, Rafael Y.
collection PubMed
description Rapid and sensitive screening tools for SARS-CoV-2 infection are essential to limit the spread of COVID-19 and to properly allocate national resources. Here, we developed a new point-of-care, non-contact thermal imaging tool to detect COVID-19, based on advanced image processing algorithms. We captured thermal images of the backs of individuals with and without COVID-19 using a portable thermal camera that connects directly to smartphones. Our novel image processing algorithms automatically extracted multiple texture and shape features of the thermal images and achieved an area under the curve (AUC) of 0.85 in COVID-19 detection with up to 92% sensitivity. Thermal imaging scores were inversely correlated with clinical variables associated with COVID-19 disease progression. In summary, we show, for the first time, that a hand-held thermal imaging device can be used to detect COVID-19. Non-invasive thermal imaging could be used to screen for COVID-19 in out-of-hospital settings, especially in low-income regions with limited imaging resources.
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spelling pubmed-84108092021-09-03 Automated processing of thermal imaging to detect COVID-19 Brzezinski, Rafael Y. Rabin, Neta Lewis, Nir Peled, Racheli Kerpel, Ariel Tsur, Avishai M. Gendelman, Omer Naftali-Shani, Nili Gringauz, Irina Amital, Howard Leibowitz, Avshalom Mayan, Haim Ben-Zvi, Ilan Heller, Eyal Shechtman, Liran Rogowski, Ori Shenhar-Tsarfaty, Shani Konen, Eli Marom, Edith M. Ironi, Avinoah Rahav, Galia Zimmer, Yair Grossman, Ehud Ovadia-Blechman, Zehava Leor, Jonathan Hoffer, Oshrit Sci Rep Article Rapid and sensitive screening tools for SARS-CoV-2 infection are essential to limit the spread of COVID-19 and to properly allocate national resources. Here, we developed a new point-of-care, non-contact thermal imaging tool to detect COVID-19, based on advanced image processing algorithms. We captured thermal images of the backs of individuals with and without COVID-19 using a portable thermal camera that connects directly to smartphones. Our novel image processing algorithms automatically extracted multiple texture and shape features of the thermal images and achieved an area under the curve (AUC) of 0.85 in COVID-19 detection with up to 92% sensitivity. Thermal imaging scores were inversely correlated with clinical variables associated with COVID-19 disease progression. In summary, we show, for the first time, that a hand-held thermal imaging device can be used to detect COVID-19. Non-invasive thermal imaging could be used to screen for COVID-19 in out-of-hospital settings, especially in low-income regions with limited imaging resources. Nature Publishing Group UK 2021-09-01 /pmc/articles/PMC8410809/ /pubmed/34471180 http://dx.doi.org/10.1038/s41598-021-96900-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Brzezinski, Rafael Y.
Rabin, Neta
Lewis, Nir
Peled, Racheli
Kerpel, Ariel
Tsur, Avishai M.
Gendelman, Omer
Naftali-Shani, Nili
Gringauz, Irina
Amital, Howard
Leibowitz, Avshalom
Mayan, Haim
Ben-Zvi, Ilan
Heller, Eyal
Shechtman, Liran
Rogowski, Ori
Shenhar-Tsarfaty, Shani
Konen, Eli
Marom, Edith M.
Ironi, Avinoah
Rahav, Galia
Zimmer, Yair
Grossman, Ehud
Ovadia-Blechman, Zehava
Leor, Jonathan
Hoffer, Oshrit
Automated processing of thermal imaging to detect COVID-19
title Automated processing of thermal imaging to detect COVID-19
title_full Automated processing of thermal imaging to detect COVID-19
title_fullStr Automated processing of thermal imaging to detect COVID-19
title_full_unstemmed Automated processing of thermal imaging to detect COVID-19
title_short Automated processing of thermal imaging to detect COVID-19
title_sort automated processing of thermal imaging to detect covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8410809/
https://www.ncbi.nlm.nih.gov/pubmed/34471180
http://dx.doi.org/10.1038/s41598-021-96900-9
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