EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19

Background: Thorax CT scan is one of the medical supports that contributes most importantly to the diagnosis, especially cases of COVID-19. The disadvantage that has a CT scan image is noise. When the noise is high then the Signal Noise Ratio (SNR) value produced is low. Canny operator edge detectio...

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Main Authors: Prima Selvia Megawati, M. Choiroel Anwar, Fatimah, Sudiyono, Darmini, Saifudin
Format: Article
Language:English
Published: Universitas Airlangga 2023-11-01
Series:Journal of Vocational Health Studies
Subjects:
Online Access:https://e-journal.unair.ac.id/JVHS/article/view/35970
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author Prima Selvia Megawati
M. Choiroel Anwar
Fatimah
Sudiyono
Darmini
Saifudin
author_facet Prima Selvia Megawati
M. Choiroel Anwar
Fatimah
Sudiyono
Darmini
Saifudin
author_sort Prima Selvia Megawati
collection DOAJ
description Background: Thorax CT scan is one of the medical supports that contributes most importantly to the diagnosis, especially cases of COVID-19. The disadvantage that has a CT scan image is noise. When the noise is high then the Signal Noise Ratio (SNR) value produced is low. Canny operator edge detection technique is one solution to animate noise. Purpose: Analyzing differences in image quality and anatomical information on thorax CT scan images in COVID-19 patients before and after the application of canny operator edge detection techniques. Method: A quasi experimental research on thorax CT Scan images before and after the application of canny operator edge detection which amounted to 10 samples. Image assessment is done by measuring noise, SNR, and anatomical information. Differences in image quality (noise and SNR) are tested with paired T-tests. Anatomical information is tested with the Wilcoxon Signed Rank Test. Result: There are differences in image quality in thorax CT scan images in COVID-19 patients before and after the application of canny operator edge detection techniques, with p-value <0.001. There are differences in the anatomical information of thorax CT scan images in COVID-19 patients before and after the application of canny operator edge detection technique with a p-value of 0.004. Conclusion: Edge detection operator canny techniques are able to lower noise values, improve SNR and improve image anatomy information thorax CT scan in COVID-19 patients.
format Article
id doaj-art-51bc4f12e8a84051af54c7901ac0beb4
institution Kabale University
issn 2580-7161
2580-717X
language English
publishDate 2023-11-01
publisher Universitas Airlangga
record_format Article
series Journal of Vocational Health Studies
spelling doaj-art-51bc4f12e8a84051af54c7901ac0beb42025-02-03T07:11:13ZengUniversitas AirlanggaJournal of Vocational Health Studies2580-71612580-717X2023-11-0172778210.20473/jvhs.V7.I2.2023.77-8234011EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19Prima Selvia Megawati0https://orcid.org/0009-0007-9015-1994M. Choiroel Anwar1https://orcid.org/0000-0002-4452-1137Fatimah2https://orcid.org/0000-0002-1333-593XSudiyono3https://orcid.org/0009-0006-9105-9797Darmini4https://orcid.org/0000-0001-5277-7389Saifudin5https://orcid.org/0000-0002-3958-2103Poltekkes Kemenkes SemarangPoltekkes Kemenkes SemarangPoltekkes Kemenkes SemarangPoltekkes Kemenkes SemarangPoltekkes Kemenkes SemarangPoltekkes Kemenkes SemarangBackground: Thorax CT scan is one of the medical supports that contributes most importantly to the diagnosis, especially cases of COVID-19. The disadvantage that has a CT scan image is noise. When the noise is high then the Signal Noise Ratio (SNR) value produced is low. Canny operator edge detection technique is one solution to animate noise. Purpose: Analyzing differences in image quality and anatomical information on thorax CT scan images in COVID-19 patients before and after the application of canny operator edge detection techniques. Method: A quasi experimental research on thorax CT Scan images before and after the application of canny operator edge detection which amounted to 10 samples. Image assessment is done by measuring noise, SNR, and anatomical information. Differences in image quality (noise and SNR) are tested with paired T-tests. Anatomical information is tested with the Wilcoxon Signed Rank Test. Result: There are differences in image quality in thorax CT scan images in COVID-19 patients before and after the application of canny operator edge detection techniques, with p-value <0.001. There are differences in the anatomical information of thorax CT scan images in COVID-19 patients before and after the application of canny operator edge detection technique with a p-value of 0.004. Conclusion: Edge detection operator canny techniques are able to lower noise values, improve SNR and improve image anatomy information thorax CT scan in COVID-19 patients.https://e-journal.unair.ac.id/JVHS/article/view/35970edge detectioncannythorax ct scancovid-19
spellingShingle Prima Selvia Megawati
M. Choiroel Anwar
Fatimah
Sudiyono
Darmini
Saifudin
EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19
Journal of Vocational Health Studies
edge detection
canny
thorax ct scan
covid-19
title EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19
title_full EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19
title_fullStr EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19
title_full_unstemmed EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19
title_short EFFECTIVENESS EDGE DETECTION OPERATOR CANNY TO IMPROVE IMAGE QUALITY THORAX CT SCAN IN CASES COVID-19
title_sort effectiveness edge detection operator canny to improve image quality thorax ct scan in cases covid 19
topic edge detection
canny
thorax ct scan
covid-19
url https://e-journal.unair.ac.id/JVHS/article/view/35970
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AT fatimah effectivenessedgedetectionoperatorcannytoimproveimagequalitythoraxctscanincasescovid19
AT sudiyono effectivenessedgedetectionoperatorcannytoimproveimagequalitythoraxctscanincasescovid19
AT darmini effectivenessedgedetectionoperatorcannytoimproveimagequalitythoraxctscanincasescovid19
AT saifudin effectivenessedgedetectionoperatorcannytoimproveimagequalitythoraxctscanincasescovid19