2022, Number 4
Compression of images of dermatological manifestations of paucisymptomatic COVID-19 patients through periodic principal components
Language: English
References: 30
Page:
PDF size: 560.41 Kb.
ABSTRACT
Introduction: The management of medical images has been gaining followers based on the advantages it offers for the diagnosis of diseases, which, like COVID-19, present with clinical manifestations that can be captured in the form of images.Objective: Take advantage of the quasi-periodicity of the principal components (PCs) in the decomposition into PCs of medical images, which represent dermatological manifestations in paucisymptomatic patients of COVID-19.
Methods: Here, a set of photos was taken of one of the most frequent patterns in COVID-19, the maculopapular pattern, characterized by an erythmatopapular rash, and compression of one of the medical images was performed. Said compression was carried out in different ways: (1) using two PCs, (2) using both a periodic PC and a non-periodic PC, (3) using two periodic PCs, (4) using a single PC, and (5) using a single periodic PC.
Result: The results of this research proved that it is possible to work with acceptable reconstructions of compressed images in the field of dermatology, without losing the quality and characteristics that allow to reach a correct diagnosis. In addition, this achievement permits to correctly classify many diseases without fear of being wrong.
Conclusion: With the method presented, the use of a robust medical image compression technique that could be very useful in the field of health is proposed. The images allow the diagnosis of diseases such as COVID-19 in paucisymptomatic patients, understanding them allows minimizing their weight without losing quality, which facilitates their use and storage.
REFERENCES
Diaz-Guimaraens B, Dominguez-Santas M, Suarez-Valle A, Pindado-Ortega C, Selda-Enriquez G, Bea-Ardebol S, et al. Petechial Skin Rash Associated with Severe Acute Respiratory Syndrome Coronavirus 2 Infection. JAMA Dermatol. 2020 [access 11/14/2022];156(7):820-2. Available from: https://jamanetwork.com/journals/jamadermatology/fullarticle/27656142.
Campanati A, Brisigotti V, Diotallevi F, D'Agostino GM, Paolinelli M, Radi G, et al. Active implications for dermatologists in 'SARS-CoV-2 ERA': Personal experience and review of literature. J Eur Acad Dermatol Venereol. 2020 [access 11/15/2022];34(8):1626-32. Available from: https://pubmed.ncbi.nlm.nih.gov/32426855/5.
Devaraj SJ. Emerging Paradigms in Transform-Based Medical Image Compression for Telemedicine Environment. In: Hemanth DJ, Balas EM, eds. Telemedicine Technologies. Academic Press. 2019 [access 11/18/2022];2(3):15-29. Available from: https://www.sciencedirect.com/science/article/pii/B978012816948300002710.
Halim MSA, Hadi NA, Sulaiman H, Abd Halim S. An algorithm for beta-spline surface reconstruction from multi slice CT scan images using MATLAB mode. Proceedings of the 2017 IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE). 2017 [access 11/14/2022];23(38):24-5. Available from: https://ieeexplore.ieee.org/document/807493913.
Ronagh M, Eshghi M. Hybrid Genetic Algorithm and Particle Swarm Optimization Based Microwave Tomography for Breast Cancer Detection. Kota Kinabalu, Malaysia: Proceedings of the 2019 IEEE 9th Symposium on Computer Applications and Industrial Electronics (ISCAIE); 2019 [access 11/14/2022]. p. 27-28. Available from: https://ieeexplore.ieee.org/document/874381414.
Tan SL, Mat Som MH, Basaruddin KS, Sulaiman AR, Aziz Safar MJ, Amin Megat Ali MS. Finite Element Analysis on Tibia with Osteogenesis Imperfecta: The Influence of Incomplete Bone in Model Reconstruction. TBD, Malaysia: Proceedings of the 2020 IEEE Symposium on Industrial Electronics and Applications (ISIEA); 2020 [access 11/14/2022]. Available from: https://ieeexplore.ieee.org/document/918815515.
Miao Y, Wang S, Miao T, An M, Wang X. Stereo-based Terrain Parameters Estimation for Lower Limb Exoskeleton. Chengdu, China. Proceedings of the 2021 IEEE 16th Conference on Industrial Electronics and Applications (ICIEA); 2021 [access 11/14/2022]. Available from: https://ieeexplore.ieee.org/document/951626716.
Hernandez W, Mendez A, Ballesteros F. Image Noise Cancellation by Taking Advantage of the Principal Component Analysis Technique. Washington, DC, USA: Proceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society - IECON 2018; 2018 [access 11/20/2022]. Available from: https://ieeexplore.ieee.org/document/859143727.
Hernandez W, Mendez A, Quezada-Sarmiento PA, Jumbo-Flores LA, Mercorelli P, Tyrsa V, et al. Image compression based on periodic principal components. Lisbon, Portugal: Proceedings of the IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society; 2019 [access 11/20/2022]. Available from: https://ieeexplore.ieee.org/document/892674728.
Hernandez W, Mendez A. Image Compression Technique Based on Some Principal Components Periodicity. In: Sergiyenko, O, Rivas-Lopez, M, Flores-Fuentes, W, Rodríguez-Quiñonez, JC, Lindner, L. Control and Signal Processing Applications for Mobile and Aerial Robotic Systems. Hershey PA: IGI Global; 2020 [access 11/20/2022]. p. 309-27. Available from: https://www.igi-global.com/chapter/image-compression-technique-based-on-some-principal-components-periodicity/24377029.