Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patients
A new artificial intelligence (AI) supported T-Ray imaging system designed and implemented for non-invasive and non-ionizing screening for coronavirus-affected patients. The new system has the potential to replace the standard conventional X-Ray based imaging modality of virus detection. This resear...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | Informatics in Medicine Unlocked |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914822001678 |
| _version_ | 1811211557768527872 |
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| author | Swarnava Biswas Saikat Adhikari Riddhi Chawla Niladri Maiti Dinesh Bhatia Pranjal Phukan Moumita Mukherjee |
| author_facet | Swarnava Biswas Saikat Adhikari Riddhi Chawla Niladri Maiti Dinesh Bhatia Pranjal Phukan Moumita Mukherjee |
| author_sort | Swarnava Biswas |
| collection | DOAJ |
| description | A new artificial intelligence (AI) supported T-Ray imaging system designed and implemented for non-invasive and non-ionizing screening for coronavirus-affected patients. The new system has the potential to replace the standard conventional X-Ray based imaging modality of virus detection. This research article reports the development of solid state room temperature terahertz source for thermograph study. Exposure time and radiation energy are optimized through several real-time experiments. During its incubation period, Coronavirus stays within the cell of the upper respiratory tract and its presence often causes an increased level of blood supply to the virus-affected cells/inter-cellular region that results in a localized increase of water content in those cells & tissues in comparison to its neighbouring normal cells. Under THz-radiation exposure, the incident energy gets absorbed more in virus-affected cells/inter-cellular region and gets heated; thus, the sharp temperature gradient is observed in the corresponding thermograph study. Additionally, structural changes in virus-affected zones make a significant contribution in getting better contrast in thermographs. Considering the effectiveness of the Artificial Intelligence (AI) analysis tool in various medical diagnoses, the authors have employed an explainable AI-assisted methodology to correctly identify and mark the affected pulmonary region for the developed imaging technique and thus validate the model. This AI-enabled non-ionizing THz-thermography method is expected to address the voids in early COVID diagnosis, at the onset of infection. |
| first_indexed | 2024-04-12T05:14:45Z |
| format | Article |
| id | doaj.art-77a01f7d72ab4fbc8d28e86b01f5e8b6 |
| institution | Directory Open Access Journal |
| issn | 2352-9148 |
| language | English |
| last_indexed | 2024-04-12T05:14:45Z |
| publishDate | 2022-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Informatics in Medicine Unlocked |
| spelling | doaj.art-77a01f7d72ab4fbc8d28e86b01f5e8b62022-12-22T03:46:39ZengElsevierInformatics in Medicine Unlocked2352-91482022-01-0132101025Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patientsSwarnava Biswas0Saikat Adhikari1Riddhi Chawla2Niladri Maiti3Dinesh Bhatia4Pranjal Phukan5Moumita Mukherjee6School of Health Sciences, The Neotia University, Kolkata, West Bengal, IndiaDepartment of Physics, School of Basic & Applied Sciences, Adamas University, Kolkata, West Bengal, IndiaMedical School, Akfa University, Tashkent, UzbekistanMedical School, Akfa University, Tashkent, UzbekistanDepartment of Biomedical Engineering, North Eastern Hill University, Shillong, Meghalaya, IndiaDepartment of Radiology and Imaging, North Eastern Indira Gandhi Regional Institute of Health and Medical Sciences, Shillong, Meghalaya, IndiaDepartment of Physics, School of Basic & Applied Sciences, Adamas University, Kolkata, West Bengal, India; Corresponding author.A new artificial intelligence (AI) supported T-Ray imaging system designed and implemented for non-invasive and non-ionizing screening for coronavirus-affected patients. The new system has the potential to replace the standard conventional X-Ray based imaging modality of virus detection. This research article reports the development of solid state room temperature terahertz source for thermograph study. Exposure time and radiation energy are optimized through several real-time experiments. During its incubation period, Coronavirus stays within the cell of the upper respiratory tract and its presence often causes an increased level of blood supply to the virus-affected cells/inter-cellular region that results in a localized increase of water content in those cells & tissues in comparison to its neighbouring normal cells. Under THz-radiation exposure, the incident energy gets absorbed more in virus-affected cells/inter-cellular region and gets heated; thus, the sharp temperature gradient is observed in the corresponding thermograph study. Additionally, structural changes in virus-affected zones make a significant contribution in getting better contrast in thermographs. Considering the effectiveness of the Artificial Intelligence (AI) analysis tool in various medical diagnoses, the authors have employed an explainable AI-assisted methodology to correctly identify and mark the affected pulmonary region for the developed imaging technique and thus validate the model. This AI-enabled non-ionizing THz-thermography method is expected to address the voids in early COVID diagnosis, at the onset of infection.http://www.sciencedirect.com/science/article/pii/S2352914822001678Avalanche transit time deviceCoronavirus diseaseLarge-signal impedance and admittance studyNon-linear quantum drift-diffusion simulatorRoom temperature characteristicsTerahertz source and radiation system |
| spellingShingle | Swarnava Biswas Saikat Adhikari Riddhi Chawla Niladri Maiti Dinesh Bhatia Pranjal Phukan Moumita Mukherjee Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patients Informatics in Medicine Unlocked Avalanche transit time device Coronavirus disease Large-signal impedance and admittance study Non-linear quantum drift-diffusion simulator Room temperature characteristics Terahertz source and radiation system |
| title | Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patients |
| title_full | Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patients |
| title_fullStr | Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patients |
| title_full_unstemmed | Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patients |
| title_short | Artificial intelligence enabled non-invasive T-ray imaging technique for early detection of coronavirus infected patients |
| title_sort | artificial intelligence enabled non invasive t ray imaging technique for early detection of coronavirus infected patients |
| topic | Avalanche transit time device Coronavirus disease Large-signal impedance and admittance study Non-linear quantum drift-diffusion simulator Room temperature characteristics Terahertz source and radiation system |
| url | http://www.sciencedirect.com/science/article/pii/S2352914822001678 |
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