Copyright (c) 2020 Ike Mayasari
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The Application of Band Pass Filter Technique for Metal Artifacts Reduction on the Quality of Anatomical Image in Paranasal Sinuses (PNS) MSCT
Corresponding Author(s) : Ike Mayasari
International Journal of Allied Medical Sciences and Clinical Research,
Vol. 5 No. 4 (2017): 2017 Volume 5- Issue -4
Abstract
Background The current development of the medical world is very rapid especially radiodiagnostics field has begun to change into the era of computerization or digitization of medical images. One use of the most advanced modalities in radiodiagnostics is CT Scan which has been widely used in hospitals. There are some 16 slices CT Scans which do not have software artifact correction, then the application of spatial filter technique on CT Scan image processing can be done by using matlab programming with band pass filter for metal artifacts reduction. Matlab (matrix laboratory) programming is a program for image processing and image analysis using raw data or image results already obtained.
Study objective (s)
Identify the difference of image results with anatomical image quality analysis on PNS MSCT before and after band pass spatial filter using Matlab.
Study design
The type of study used here was quasi experiment with Pre Test- Post Test only Group Design. This study aims to determine the changes before and after the treatment (post-test). There was 1 treatment group which used spatial filter technique.
Results
There was a significant difference in the treatment group before and after spatial filter use to the anatomical assessment with p value of <0.05 or p value of 0.000. This showed the optimal quality of Paranasal Sinuses (PNS) MSCT image and the reduction of metal artifacts which could help to establish anatomical diagnosis.
Conclusion
There was a reduction of metal artifacts after reduction with the use of spatial filter. Then Band Pass filter could be used to reduce metal artifacts in PNS MSCT examination.
Keywords
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Soepardi E A. Telinga Hidung Tenggorok Kepaladan Leher. Fakultas Kedokteran UI Jakarta. 2014
[2]. Adam B. Penyakit THT. Bukukedokteran EGC. Jakarta, 1997
[3]. Rasad S. Sinus Paranasal radiologi Diagnostik. Jakarta, 2005
[4]. Sprowls, Perry, Jr, PhD, FACR. Physical Principle of Medical Imaging. Second edition. Medical physic Publishing. Medisonwisconsin. 1995
[5]. Damayanti. Sinus ParanasalDalam. Buku Ajar kedokteran THT danleher. FK UI. 2002
[6]. Mangunkusumo E. Sinusitis. Buku Ajar kesehatantelingahidungtenggorokkepaladanleher. FK UI. Jakarta. 2007
[7]. Jung lee. MD Sungjun. Overcoming Artifacs from metalic Orthopedic Implants at MR Imaging and Multidetector CT. 2012
Ike M et al / Int. J. of Allied Med. Sci. and Clin. Research Vol-5(4) 2017 [979-985]
985
[8]. Kurniawan A. Penapisan Artefak Logampadacitra CT Scan. 2013
[9]. AthiraN.Efekfilterisasiartefakpadacitra computed tomography (CT) fantomkepala. 2012
[10]. Guyton. Bukuajar Fisiologi Kedokteran. Jakarta. 1997
[11]. Pearce. Anatomidan Fisiologiuntukparamedis. Gramedia. Jakarta. 2004
[12]. Seram. Computed Tomography Physical Principles Clinical Applications and Quality Control. Canada 2000
[13]. Bushong SC. Computed Tomography Essential of Medical Imaging Series. The MacGraw Companies. New York. 2000
[14]. Busberq J. The Essential Physis of Medical Imaging. Philadelphia. 2002
[15]. Setiyanto E. Artefak CT Scan. Jakarta. 2011
[16]. Ariesta N. ArtefakdanPengelolaanpada CT Scan. Jakarta. 2013
[17]. Jaju P, Jain M, Gupta A. Artefak in Cone beam CT. Bhopal India. 2013
[18]. Wijaya Marvin Ch. AgusPrijono. 2007. Pengolahan Citra Digital menggunakan Matlab. Informatika. Bandung.
[19]. Sianipar RH. Pemrograman Matlab. Informatika. Bandung. 2013
[20]. Adi K. Pengenalan Citra danPengenalanPola. UniversitasDiponegoro. Semarang. 2014
[21]. Suarga. FisikaKomputasiSolusiSolusidenganMatlab. Andi. Yogyakarta. 2013
[22]. Dahlan S. Statistikuntukkedokterandankesehatan. Epidemiologi Indonesia. Jakarta. 2016
[23]. Stang. Cara praktis penentuan ujistatistik dalam Penelitian Kesehatan.MitraWacana Media. Jakarta. 2014
[24]. Sudigdo S. Dasar-dasarMetodologi PenelitianKlinis. Eds.4. Binarupaaksara. Jakarta. 2011.
[25]. Boas E, Fleishmann D. CT ArtefaksCausess and reduction Techniques. Standford University School of Medicine. 2012
[26]. Schonfeld A. Experimental Study on The Omar CT Artefac Correction Algorithm. Pius Hospital Oldenburq. Germany.2013.
[27]. Chen G, Li Y. Smart Recon method to eliminate limited-view artifacs and to mitigate the temporal-average artefacs in time-resolved CT. Madison wiconsin. 2011.
[28]. Gonzalez, RC and Rafael E.W. Digital Imaging Processing. Prentice-Hall.Inc.United State. America. 2008.
References
[2]. Adam B. Penyakit THT. Bukukedokteran EGC. Jakarta, 1997
[3]. Rasad S. Sinus Paranasal radiologi Diagnostik. Jakarta, 2005
[4]. Sprowls, Perry, Jr, PhD, FACR. Physical Principle of Medical Imaging. Second edition. Medical physic Publishing. Medisonwisconsin. 1995
[5]. Damayanti. Sinus ParanasalDalam. Buku Ajar kedokteran THT danleher. FK UI. 2002
[6]. Mangunkusumo E. Sinusitis. Buku Ajar kesehatantelingahidungtenggorokkepaladanleher. FK UI. Jakarta. 2007
[7]. Jung lee. MD Sungjun. Overcoming Artifacs from metalic Orthopedic Implants at MR Imaging and Multidetector CT. 2012
Ike M et al / Int. J. of Allied Med. Sci. and Clin. Research Vol-5(4) 2017 [979-985]
985
[8]. Kurniawan A. Penapisan Artefak Logampadacitra CT Scan. 2013
[9]. AthiraN.Efekfilterisasiartefakpadacitra computed tomography (CT) fantomkepala. 2012
[10]. Guyton. Bukuajar Fisiologi Kedokteran. Jakarta. 1997
[11]. Pearce. Anatomidan Fisiologiuntukparamedis. Gramedia. Jakarta. 2004
[12]. Seram. Computed Tomography Physical Principles Clinical Applications and Quality Control. Canada 2000
[13]. Bushong SC. Computed Tomography Essential of Medical Imaging Series. The MacGraw Companies. New York. 2000
[14]. Busberq J. The Essential Physis of Medical Imaging. Philadelphia. 2002
[15]. Setiyanto E. Artefak CT Scan. Jakarta. 2011
[16]. Ariesta N. ArtefakdanPengelolaanpada CT Scan. Jakarta. 2013
[17]. Jaju P, Jain M, Gupta A. Artefak in Cone beam CT. Bhopal India. 2013
[18]. Wijaya Marvin Ch. AgusPrijono. 2007. Pengolahan Citra Digital menggunakan Matlab. Informatika. Bandung.
[19]. Sianipar RH. Pemrograman Matlab. Informatika. Bandung. 2013
[20]. Adi K. Pengenalan Citra danPengenalanPola. UniversitasDiponegoro. Semarang. 2014
[21]. Suarga. FisikaKomputasiSolusiSolusidenganMatlab. Andi. Yogyakarta. 2013
[22]. Dahlan S. Statistikuntukkedokterandankesehatan. Epidemiologi Indonesia. Jakarta. 2016
[23]. Stang. Cara praktis penentuan ujistatistik dalam Penelitian Kesehatan.MitraWacana Media. Jakarta. 2014
[24]. Sudigdo S. Dasar-dasarMetodologi PenelitianKlinis. Eds.4. Binarupaaksara. Jakarta. 2011.
[25]. Boas E, Fleishmann D. CT ArtefaksCausess and reduction Techniques. Standford University School of Medicine. 2012
[26]. Schonfeld A. Experimental Study on The Omar CT Artefac Correction Algorithm. Pius Hospital Oldenburq. Germany.2013.
[27]. Chen G, Li Y. Smart Recon method to eliminate limited-view artifacs and to mitigate the temporal-average artefacs in time-resolved CT. Madison wiconsin. 2011.
[28]. Gonzalez, RC and Rafael E.W. Digital Imaging Processing. Prentice-Hall.Inc.United State. America. 2008.