Journal Of Vocational Health Studies
Vol. 6 No. 1 (2022): July 2022 | JOURNAL OF VOCATIONAL HEALTH STUDIES

THE REDUCTION OF METAL ARTIFACTS USING BAND PASS MEDIAN FILTER ON HEAD CT SCAN

Nimas Rokhmatik Dayyana (Department of Health, Faculty of Vocational Studies, Universitas Airlangga, Indonesia)
Pramono (Department of Radiology, Dr. Soetomo Hospital, Indonesia)
Khusnul Ain (Department of Physics, Faculty of Science and Technology, Universitas Airlangga, Indonesia)
Amilia Kartikasari (Department of Health, Faculty of Vocational Studies, Universitas Airlangga, Indonesia)
Riky Tri Yunardi (Department of Engineering, Faculty of Vocational Studies, Universitas Airlangga, Indonesia)



Article Info

Publish Date
30 Jul 2022

Abstract

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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Journal Info

Abbrev

JVHS

Publisher

Subject

Health Professions

Description

Journal Of Vocational Health Studies (J.Voc.HS), with registered number ISSN 2580-7161 (Print) and ISSN 2580-717X (Online), is a scientific journal published by Department Of Health, Faculty of Vocational Education, Universitas Airlangga. Journal of Vocational Health Studies publishes scientific ...