Uji banding kualitas citra radiograf sistem radiografi digital modifikasi terhadap computed radiography system dengan metode Contrass to Noise Ratio
(1) PLP Ahli Pertama Laboratorium Fisika, Fakultas MIPA, Universitas Negeri Semarang
(2) Dosen Jurusan Fisika, Fakultas MIPA, Universitas Negeri Semarang
Abstract
Modification of conventional radiography systems into a digital radiography system was conducted at the Laboratory of Physics Unnes. The image quality of digital radiography system that was developed in the Laboratory of Medical Physics Unnes need to be tested. The computed radiography (CR) system owned by Diponegoro National Hospital was chosen as a comparison with contrass to noise ratio (CNR) methode. Radiograph image generated by both radiography system then analyzed by software based on MATLAB. This study uses a copper plate phantom exposed to X-rays with a variation of anode-cathode voltage of 50 kV, 60 kV, 70 kV and 80 kV. For each voltage to vary the electrical current and expotion time of 1.6 mAs, 2.0 mAs, mAs 4.0, 8 mAs, 16 mAs and 32 mAs. Comparison of CNR for both systems to variations of tube voltage (kV) have a fixed value for the current and expotion time 4 mAs. Comparison of CNR for both systems to variations in current and ekspotion time (mAs) selected tube voltage 70kV.
Keywords
Full Text:
PDFReferences
Artawijaya, A., 2010. Kualitas Citra Radiograf Foto Rontgent. http://catatanradiograf.blogspot.co.id/2010/01/kualitas-citra-radiografi-foto-rontgen. html. diakses tanggal 12 Oktober 2016
Kurnianto, K., Putra, I. M. dan Susila, I. P., 2013. Perekayasaan Perangkat Radiografi Digital untuk Industri. Prosiding pertemuan ilmiah perekayasaan perangat nuklir (PRPN). Tangerang. Batan
Muhtadan, D. H., 2008. Pengembangan aplikasi untuk perbaikan citra digital film radiografi. Prosiding seminar nasional IV SDM teknologo nuklir. Yogyakarta, 25-26 Agustus 2008. ISSN 1978-0176.
Naralyawan, K. 2013. Perbandingan Radiografi Konvensional, CR (Computer Radiografi), DR (Digital Radiografi). http://kristinanaralyawan.blogspot.co.id/2013/10/perbandingan-konvensional-cr-computer.html diakses tanggal 12 Oktober 2016
Song, X. & Brian, W., 2004. Automated region detection based on the contrast-to-noise ratio in rear-infrared tomography. Optical Society of America. New Hampshire
Susilo, Supriyadi, Sutikno, Sunarno, Setiawan, R., 2014. Rancang Bangun Sistem Penangkap Gambar Radiografi Digital Berbasis Kamera DSLR. Jurnal Pendidikan Fisika Indonesia 10 hal. 66-74.
Suyatno, F. 2008. Aplikasi radiasi sinar-x di bidang kedokteran untuk menunjang kesehatan masyarakat. Prosiding seminar nasional IV SDM teknologo nuklir. Yogyakarta, 25-26 Agustus 2008. ISSN 1978-0176.
Wang, F., Cao, F., Bai, T., 2013, Modulation Transfer Function of Spatially Variant Sampling Retina-Like Sensor, Optic 124 hal. 1342-1345.
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution 4.0 International License