Automated processing of thermal imaging to detect COVID-19
| Autor: | Neta Rabin, Haim Mayan, Avishai M Tsur, Shani Shenhar-Tsarfaty, Jonathan Leor, Yair Zimmer, Ilan Ben-Zvi, Eli Konen, Nir Lewis, Zehava Ovadia-Blechman, Ori Rogovski, Ariel Kerpel, Eyal Heler, Avshalom Leibowitz, Ehud Grossman, Galia Rahav, Edith M. Marom, Liran Shechtman, Nili Naftali-Shani, Racheli Peled, Omer Gendelman, Avinoah Ironi, Irina Gringauz, Howard Amital, Rafael Y. Brzezinski, Oshrit Hoffer |
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| Rok vydání: | 2021 |
| Předmět: |
Adult
Male Coronavirus disease 2019 (COVID-19) Computer science Science Point-of-Care Systems Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Sensitivity and Specificity Article Imaging Tool Thermal Digital image processing Image Processing Computer-Assisted Humans Computer vision Screening tool Sensitivity (control systems) Aged Multidisciplinary business.industry Disease progression COVID-19 Middle Aged Area Under Curve Disease Progression Medicine Infectious diseases Female Smartphone Medical imaging Artificial intelligence business Algorithms |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-10 (2021) |
| ISSN: | 2045-2322 |
| Popis: | 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 image-processing algorithms and machine learning analysis. We captured thermal images of the back 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 detecting COVID-19 with up to 92% sensitivity. Thermal imaging scores were inversely correlated with clinical variables associated with COVID-19 disease progression. 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.HIGHLIGHTSAutomated processing of thermal images of the back can be used to detect COVID-19 with up to 92% sensitivity.The extracted texture features of the thermal image are associated with COVID-19 disease progression and lung injury.A portable thermal camera that connects directly to smartphones can be used to detect COVID-19.Non-invasive thermal imaging could be used to screen for COVID-19 in out-of-hospital settings and regions with limited imaging resources.GRAPHICAL ABSTRACT |
| Databáze: | OpenAIRE |
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