Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783747177163522048 |
---|---|
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. |
format | Online Article Text |
id | pubmed-8410809 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT brzezinskirafaely automatedprocessingofthermalimagingtodetectcovid19 AT rabinneta automatedprocessingofthermalimagingtodetectcovid19 AT lewisnir automatedprocessingofthermalimagingtodetectcovid19 AT peledracheli automatedprocessingofthermalimagingtodetectcovid19 AT kerpelariel automatedprocessingofthermalimagingtodetectcovid19 AT tsuravishaim automatedprocessingofthermalimagingtodetectcovid19 AT gendelmanomer automatedprocessingofthermalimagingtodetectcovid19 AT naftalishaninili automatedprocessingofthermalimagingtodetectcovid19 AT gringauzirina automatedprocessingofthermalimagingtodetectcovid19 AT amitalhoward automatedprocessingofthermalimagingtodetectcovid19 AT leibowitzavshalom automatedprocessingofthermalimagingtodetectcovid19 AT mayanhaim automatedprocessingofthermalimagingtodetectcovid19 AT benzviilan automatedprocessingofthermalimagingtodetectcovid19 AT hellereyal automatedprocessingofthermalimagingtodetectcovid19 AT shechtmanliran automatedprocessingofthermalimagingtodetectcovid19 AT rogowskiori automatedprocessingofthermalimagingtodetectcovid19 AT shenhartsarfatyshani automatedprocessingofthermalimagingtodetectcovid19 AT koneneli automatedprocessingofthermalimagingtodetectcovid19 AT maromedithm automatedprocessingofthermalimagingtodetectcovid19 AT ironiavinoah automatedprocessingofthermalimagingtodetectcovid19 AT rahavgalia automatedprocessingofthermalimagingtodetectcovid19 AT zimmeryair automatedprocessingofthermalimagingtodetectcovid19 AT grossmanehud automatedprocessingofthermalimagingtodetectcovid19 AT ovadiablechmanzehava automatedprocessingofthermalimagingtodetectcovid19 AT leorjonathan automatedprocessingofthermalimagingtodetectcovid19 AT hofferoshrit automatedprocessingofthermalimagingtodetectcovid19 |