The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct Scan

Background: One of the artifacts found on the CT scan is a metal artifact. Metal artifacts are caused by metal objects present in patients’ bodies. The file of metal artifacts can cover the organ that will be evaluated, and it can be inferred with the pixel value (CT number) assessment of the tissue...

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Main Authors: Nimas Rokhmatik Dayyana, Pramono, Khusnul Ain, Amilia Kartikasari, Riky Tri Yunardi
Format: Article
Language:Indonesian
Published: Universitas Airlangga 2022-07-01
Series:Journal of Vocational Health Studies
Subjects:
Online Access:https://e-journal.unair.ac.id/JVHS/article/view/24182
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author Nimas Rokhmatik Dayyana
Pramono
Khusnul Ain
Amilia Kartikasari
Riky Tri Yunardi
author_facet Nimas Rokhmatik Dayyana
Pramono
Khusnul Ain
Amilia Kartikasari
Riky Tri Yunardi
author_sort Nimas Rokhmatik Dayyana
collection DOAJ
description Background: One of the artifacts found on the CT scan is a metal artifact. Metal artifacts are caused by metal objects present in patients’ bodies. The file of metal artifacts can cover the organ that will be evaluated, and it can be inferred with the pixel value (CT number) assessment of the tissue around the metal. Purpose: To determine the effect of the band pass median filter and find the optimal filter to reduce metal artifacts on the head CT scan. Method: A total of 43 samples of patients’s files from head CT-scan without any contrast were reconstructed using four band pass median filters and obtained R1, R2, R5, and R10 filters. Two radiology specialists were assessed for the reduction of metal artifacts using the ImageJ application. Result: Four variations of the filter affected the reduction of metal artifacts because the band pass median filter maintained a point that was close to its neighboring points and points that were different from its neighboring points by replacing the value of the pixel with the median value of the grey level of neighboring pixels. The optimal filter recommendation is the R1 filter because it has the largest SNR value (16.9773) and the smallest RMSE value (8.57501) so that the result of the image is more informative and has a diagnostic value. Conclusion: The four filter variations were affected by reducing metal artifacts. Images with substantial SNR and fractional RMSE values produced an image that was more informative and still had diagnostic value.
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spelling doaj.art-a6ec20d04f874a6eb621cc92c8b19f072022-12-22T00:53:35ZindUniversitas AirlanggaJournal of Vocational Health Studies2580-71612580-717X2022-07-0161172310.20473/jvhs.V6.I1.2022.17-23The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct ScanNimas Rokhmatik Dayyana0https://orcid.org/0000-0002-4118-2299Pramono1https://orcid.org/0000-0002-2131-2156Khusnul Ain2https://orcid.org/0000-0002-8315-7067Amilia Kartikasari3https://orcid.org/0000-0001-9908-3974Riky Tri Yunardi4https://orcid.org/0000-0002-8780-1198Department of Health, Faculty of Vocational Studies, Universitas Airlangga, IndonesiaDepartment of Radiology, Dr. Soetomo Hospital, IndonesiaDepartment of Physics, Faculty of Science and Technology, Universitas Airlangga, IndonesiaDepartment of Health, Faculty of Vocational Studies, Universitas Airlangga, IndonesiaDepartment of Engineering, Faculty of Vocational Studies, Universitas Airlangga, IndonesiaBackground: One of the artifacts found on the CT scan is a metal artifact. Metal artifacts are caused by metal objects present in patients’ bodies. The file of metal artifacts can cover the organ that will be evaluated, and it can be inferred with the pixel value (CT number) assessment of the tissue around the metal. Purpose: To determine the effect of the band pass median filter and find the optimal filter to reduce metal artifacts on the head CT scan. Method: A total of 43 samples of patients’s files from head CT-scan without any contrast were reconstructed using four band pass median filters and obtained R1, R2, R5, and R10 filters. Two radiology specialists were assessed for the reduction of metal artifacts using the ImageJ application. Result: Four variations of the filter affected the reduction of metal artifacts because the band pass median filter maintained a point that was close to its neighboring points and points that were different from its neighboring points by replacing the value of the pixel with the median value of the grey level of neighboring pixels. The optimal filter recommendation is the R1 filter because it has the largest SNR value (16.9773) and the smallest RMSE value (8.57501) so that the result of the image is more informative and has a diagnostic value. Conclusion: The four filter variations were affected by reducing metal artifacts. Images with substantial SNR and fractional RMSE values produced an image that was more informative and still had diagnostic value.https://e-journal.unair.ac.id/JVHS/article/view/24182artifact reductionband pass median filterhead ct scanmetal artifacts
spellingShingle Nimas Rokhmatik Dayyana
Pramono
Khusnul Ain
Amilia Kartikasari
Riky Tri Yunardi
The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct Scan
Journal of Vocational Health Studies
artifact reduction
band pass median filter
head ct scan
metal artifacts
title The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct Scan
title_full The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct Scan
title_fullStr The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct Scan
title_full_unstemmed The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct Scan
title_short The Reduction of Metal Artifacts using Band Pass Median Filter on Head Ct Scan
title_sort reduction of metal artifacts using band pass median filter on head ct scan
topic artifact reduction
band pass median filter
head ct scan
metal artifacts
url https://e-journal.unair.ac.id/JVHS/article/view/24182
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