Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain
In the COVID-19 era, it may be possible to detect COVID-19 by detecting lesions in scans, i.e., ground-glass opacity, consolidation, nodules, reticulation, or thickened interlobular septa, and lesion distribution, but it becomes difficult at the early stages due to embryonic lesion growth and the re...
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| Format: | Article |
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MDPI AG
2022-11-01
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| Series: | Diagnostics |
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| Online Access: | https://www.mdpi.com/2075-4418/12/11/2766 |
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| author | Manoj Diwakar Prabhishek Singh Chetan Swarup Eshan Bajal Muskan Jindal Vinayakumar Ravi Kamred Udham Singh Teekam Singh |
| author_facet | Manoj Diwakar Prabhishek Singh Chetan Swarup Eshan Bajal Muskan Jindal Vinayakumar Ravi Kamred Udham Singh Teekam Singh |
| author_sort | Manoj Diwakar |
| collection | DOAJ |
| description | In the COVID-19 era, it may be possible to detect COVID-19 by detecting lesions in scans, i.e., ground-glass opacity, consolidation, nodules, reticulation, or thickened interlobular septa, and lesion distribution, but it becomes difficult at the early stages due to embryonic lesion growth and the restricted use of high dose X-ray detection. Therefore, it may be possible for a patient who may or may not be infected with coronavirus to consider using high-dose X-rays, but it may cause more risks. Conclusively, using low-dose X-rays to produce CT scans and then adding a rigorous denoising algorithm to the scans is the best way to protect patients from side effects or a high dose X-ray when diagnosing coronavirus involvement early. Hence, this paper proposed a denoising scheme using an NLM filter and method noise thresholding concept in the shearlet domain for noisy COVID CT images. Low-dose COVID CT images can be further utilized. The results and comparative analysis showed that, in most cases, the proposed method gives better outcomes than existing ones. |
| first_indexed | 2024-03-09T18:24:01Z |
| format | Article |
| id | doaj.art-f6c8b18e11664c1083258d2899b80776 |
| institution | Directory Open Access Journal |
| issn | 2075-4418 |
| language | English |
| last_indexed | 2024-03-09T18:24:01Z |
| publishDate | 2022-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Diagnostics |
| spelling | doaj.art-f6c8b18e11664c1083258d2899b807762023-11-24T08:03:57ZengMDPI AGDiagnostics2075-44182022-11-011211276610.3390/diagnostics12112766Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet DomainManoj Diwakar0Prabhishek Singh1Chetan Swarup2Eshan Bajal3Muskan Jindal4Vinayakumar Ravi5Kamred Udham Singh6Teekam Singh7Computer Science and Engineering Department, Graphic Era Deemed to be University, Dehradun 248007, IndiaSchool of Computer Science Engineering and Technology, Bennett University, Greater Noida 201310, IndiaDepartment of Basic Science, College of Science and Theoretical Studies, Saudi Electronic University, Riyadh-Male Campus, Riyadh 13316, Saudi ArabiaDepartment of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Noida 201303, IndiaDepartment of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, Noida 201303, IndiaCenter for Artificial Intelligence, Prince Mohammad Bin Fahd University, Khobar 34754, Saudi ArabiaDepartment of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, TaiwanSchool of Computer Science, University of Petroleum and Energy Studies, Dehradun 248007, IndiaIn the COVID-19 era, it may be possible to detect COVID-19 by detecting lesions in scans, i.e., ground-glass opacity, consolidation, nodules, reticulation, or thickened interlobular septa, and lesion distribution, but it becomes difficult at the early stages due to embryonic lesion growth and the restricted use of high dose X-ray detection. Therefore, it may be possible for a patient who may or may not be infected with coronavirus to consider using high-dose X-rays, but it may cause more risks. Conclusively, using low-dose X-rays to produce CT scans and then adding a rigorous denoising algorithm to the scans is the best way to protect patients from side effects or a high dose X-ray when diagnosing coronavirus involvement early. Hence, this paper proposed a denoising scheme using an NLM filter and method noise thresholding concept in the shearlet domain for noisy COVID CT images. Low-dose COVID CT images can be further utilized. The results and comparative analysis showed that, in most cases, the proposed method gives better outcomes than existing ones.https://www.mdpi.com/2075-4418/12/11/2766COVIDCT image denoisingthresholdingWorld Health Organization |
| spellingShingle | Manoj Diwakar Prabhishek Singh Chetan Swarup Eshan Bajal Muskan Jindal Vinayakumar Ravi Kamred Udham Singh Teekam Singh Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain Diagnostics COVID CT image denoising thresholding World Health Organization |
| title | Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain |
| title_full | Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain |
| title_fullStr | Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain |
| title_full_unstemmed | Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain |
| title_short | Noise Suppression and Edge Preservation for Low-Dose COVID-19 CT Images Using NLM and Method Noise Thresholding in Shearlet Domain |
| title_sort | noise suppression and edge preservation for low dose covid 19 ct images using nlm and method noise thresholding in shearlet domain |
| topic | COVID CT image denoising thresholding World Health Organization |
| url | https://www.mdpi.com/2075-4418/12/11/2766 |
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