Analysis Analysis of Histogram and Grayscale on Chest X-Ray Computed Radiography Image in Covid-19 Disease vs Normal

Hernastiti Sedya Utami; Ika Mentari Putri Rahmawati; Rifdatul Reski

Authors

Hernastiti Sedya Utami Universitas Muhammadiyah Purwokerto
Ika Mentari Putri Rahmawati RSUD dr. Gondo Suwarno
Rifdatul Reski Klinik Pratama Rawat Jalan UMP, Banyumas

Keywords:

chest x-ray, grayscale, histogram, covid-19.

Abstract

Chest X-ray the main imaging modality for diagnosing Covid-19. An optimal radiograph is needed, so that it can be used as a support for the diagnosis of the disease. The use of digital CR can produce images easily, quickly, optimally, and can be processed as needed. However, it is possible that clinical acquisitions can result in low quality digital images. CR digital images can calculate grayscale and histogram values and can provide clues in diagnosing patients in Covid-19 cases by analyzing that values. Each covid-19 and normal group as many as 18 CXR postero-anterior projection images analyzed by quantitative analysis was conducted by measuring the mean of grayscale values and displayed histogram use ImageJ software. The result is there is a significant difference in the mean grayscale value between normal and covid-19 chest images (p<0.001). The grayscale value in the covid-19chest image (117.433±4.314) has a higher grayscale value and histograme range that is more inclined to the right than the normal chest image (65.231±3.304). Finally, histogram and grayscale values are very helpful in establishing the diagnosis of Covid-19.

References

B. W. Long, J. H. Rollins, and B. J. Smith, Merrill’s Atlas of Radiographic Positioning and Procedures, THIRTEENTH EDITION. St. Louis, Missouri, 2016.

T. Zhang, Q. Wu, and Z. Zhang, “Probable Pangolin Origin of SARS-CoV-2 Associated with the COVID-19 Outbreak,” Curr. Biol., vol. 30, no. 7, pp. 1346–1351.e2, Apr. 2020, doi: 10.1016/j.cub.2020.03.022.

C. Huang et al., “Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China,” Lancet, vol. 395, pp. 497–506, Feb. 2020, doi: 10.1016/S0140-6736(20)30183-5.

M. Bassetti, A. Vena, and D. R. Giacobbe, “The novel Chinese coronavirus (2019-nCoV) infections: Challenges for fighting the storm,” European Journal of Clinical Investigation, vol. 50, no. 3. Blackwell Publishing Ltd, Mar. 01, 2020. doi: 10.1111/eci.13209.

N. Chen et al., “Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study,” Lancet, vol. 395, no. 10223, pp. 507–513, Feb. 2020, doi: 10.1016/S0140-6736(20)30211-7.

Kemenkes RI., Profil Kesehatan Indonesia. 2021.

T. Singhal, “A Review of Coronavirus Disease-2019 (COVID-19),” Indian Journal of Pediatrics, vol. 87, no. 4. Springer, pp. 281–286, Apr. 01, 2020. doi: 10.1007/s12098-020-03263-6.

H. Yuen Frank Wong et al., “Frequency and Distribution of Chest Radiographic Findings in COVID-19 Positive Patients,” RSNA, vol. 296, no. 2, 2020, doi: https://doi.org/10.1148/radiol.2020201160.

F. Anita and D. A. Tunggadewi, “Uji Banding Citra Film Terhadap Computed Radiography (CR),” J. Ilm. Giga, vol. 23, no. 1, p. 20, 2020, doi: 10.47313/jig.v23i1.866.

N. Ahmaed and A. Hadinegore, “Metode Histogram Equaliization untuk Perbaikan Ciitra Diigital,” Seminar Nasional Teknol. Informasii Komuniikasi Teraapan, vol. 3, no. Semantik, pp. 439–445, 2020, [Online]. Available: http://publikasi.dinus.ac.id/index.php/semantik/article/view/185

D. Arini, S. Kulsum, A. Citra, M. Stikes, and H. T. Surabaya, “Status Kelengkapan Imunisasi Difteri Pada Kejadian Difteri Di Wilayah Surabaya,” J. Ilm. Keperawatan Stikes Hang Tuah Surabaya, vol. 15, no. 2, 2020, [Online]. Available: www.journal.stikeshangtuah-sby.ac.id

Y. Chen et al., “Aging in COVID-19: Vulnerability, immunity and intervention,” Ageing Res. Rev., vol. 65, Jan. 2021, doi: 10.1016/j.arr.2020.101205.

M. L. Daud, J. E. Nelwan, and B. T. Ratag, “Hubungan Antara Umur Dan Jenis Kelamin Dengan Kejadian Coronavirus Disease-19 Di Kota Bitung Tahun 2020,” J. KESMAS, vol. 11, no. 1, pp. 190–195, 2022.

R. N. Rinaldi, “FAKTOR RISIKO YANG BERHUBUNGAN DENGAN KEJADIAN COVID-19 DI KOTA BOGOR,” Universitas pembangunan Nasional Veteran Jakarta, Jakarta, 2021.

M. A. A. Al-Bari, S. Hossain, and M. K.-E. Zahan, “Exploration of sex-specific and age-dependent COVID-19 fatality rate in Bangladesh population,” World J. Radiol., vol. 13, no. 1, pp. 1–18, Jan. 2021, doi: 10.4329/wjr.v13.i1.1.

Yelly N Nabuasa, “PENGOLAHAN CITRA DIGITAL PERBANDINGAN METODE HISTOGRAM EQUALIZATION DAN SPESIFICATION PADA CITRA ABU-ABU,” J-ICON, vol. 7, no. 1, pp. 87–95, Mar. 2019.

Dodi Andre Putra, J. Na` am, and Yuhandri, “Identifikasi Objek pada Citra Thorax X-Ray Pasien COVID-19 dengan Metode Contrast Limited Adaptive Histogram Equalization (CLAHE),” J. Inf. dan Teknol., pp. 33–38, Feb. 2022, doi: 10.37034/jidt.v4i1.184.

M. Aprilian, S. H. Sitorus, and U. Ristian, “PERBANDINGAN METODE GABUNGAN HISTOGRAM EQUALIZATION DENGAN CONTRAST STRETCHING UNTUK PERBAIKAN KUALITAS CITRA RADIOLOGI,” Coding J. Komput. dan Apl., vol. 08, no. 02, pp. 55–66, 2020.

E. Cozzi et al., “COVID-19 pneumonia in lung transplant recipients: Report of 2 cases,” Am. J. Transplant., vol. 20, no. 10, pp. 2933–2937, Oct. 2020, doi: 10.1111/ajt.15993.

F. Albarello et al., “2019-novel Coronavirus severe adult respiratory distress syndrome in two cases in Italy: An uncommon radiological presentation,” Int. J. Infect. Dis., vol. 93, pp. 192–197, Apr. 2020, doi: 10.1016/j.ijid.2020.02.043.

K. Loverdos et al., “Lung microbiome in asthma: Current perspectives,” Journal of Clinical Medicine, vol. 8, no. 11. MDPI, Nov. 01, 2019. doi: 10.3390/jcm8111967.

L. Epsilawati, S. Sitam, S. Belly, and F. Oscandar, “Analisis gambaran histogram dan densitas kamar pulpa pada gigi suspek pulpitis reversibel dan ireversibel dengan menggunakan radiografi cone beam computed tomography,” Dentofasial, vol. 13, no. 2, pp. 122–128, 2014.