DOI QR코드

DOI QR Code

방사선치료시 전자포털영상장치를 이용한 잡음전력스펙트럼 방법론 측정비교

Comparison of Noise Power Spectrum Methodologies in Measurements by Using Various Electronic Portal Imaging Devices in Radiation Therapy

  • 손순룡 (원광보건대학교 방사선과) ;
  • 최관우 (서울아산병원 영상의학과) ;
  • 정회원 (백석문화대학교 방사선과) ;
  • 권경태 (동남보건대학교 방사선과) ;
  • 김기원 (강동경희대병원 영상의학과) ;
  • 이영아 (신구대학교 바이오 동물학과) ;
  • 손진현 (신구대학교 방사선과) ;
  • 민정환 (신구대학교 방사선과)
  • Son, Soon-Yong (Dep. of Radiological Technology, Wonkwang Health Science University) ;
  • Choi, Kwan-Woo (Dep of Radiology, Asan Medical Center) ;
  • Jeong, Hoi-Woun (Dep. of Radiological Technology, Baekseok Culture University College) ;
  • Kwon, Kyung-Tae (Dep. of Radiological Technology, Dongnam Health University) ;
  • Kim, Ki-Won (Dep. of Radiology, Kyung Hee University Hospital at Gang-dong) ;
  • Lee, Young-Ah (Dep. of Bio-Technologist and Laboratory Animal, Shingu University College) ;
  • Son, Jin-Hyun (Dep. of Radiological Technology, Shingu University College) ;
  • Min, Jung-Whan (Dep. of Radiological Technology, Shingu University College)
  • 투고 : 2016.01.27
  • 심사 : 2016.03.07
  • 발행 : 2016.03.31

초록

잡음전력스펙트럼 (noise power spectrum, NPS)는 noise 진폭의 측정과 균일한 방사선 영역으로부터 획득된 영상의 품질에 가장 일반적인 방법 중 하나이다. 이 연구의 목적은 megavoltage X-ray 에너지를 사용하여 다른 잡음 전력스펙트럼 방법론들을 비교하는 것이다. 진단 영역에서의 잡음전력스펙트럼 평가 방법들은 국제 전기 규격 international electro-technical commission(IEC 62220-1) 기준을 사용하여 치료 영역에 적용되었다. 우리가 사용한 전자포털영상장치(electronic portal imaging device, EPID)는 Varian TrueBeam$^{TM}$, Siemens BEAMVIEW$^{PLUS}$, Elekta iViewGT 그리고 Varian Clinac$^R$ iX aS1000이었다. 잡음전력스펙트럼의 관심영역을 측정하기 위해, 우리는 겹침 (overlapping), 비겹침 (non-overlapping), 평탄도 (flatness), 반음영 (penumbra) 4가지 인자를 사용하였다. 결과적으로는 Siemens BEAMVIEW$^{PLUS}$, Varian TrueBeam$^{TM}$ flattening filter, Varian Clinac$^R$ iX aS1000, Varian TrueBeam$^{TM}$ flattening filter free에서의 잡음 (noise) 분포는 기존의 첫번째, 두번째, 세번째 실험방법보다는 Elekta iViewGT보다 현격하게 높은 noise 분포가 나타남을 알 수 있다. 이번 연구는 다양한 인자들이 잡음전력스펙트럼의 megavoltage imaging (MVI)영상에서 MVI영역에서 잡음전력 스펙트럼의 기준의 방법론으로 사용되어질 수 있다는 것을 보여주었다.

The noise power spectrum (NPS) is one of the most general methods for measuring the noise amplitude and the quality of an image acquired from a uniform radiation field. The purpose of this study was to compare different NPS methodologies by using megavoltage X-ray energies. The NPS evaluation methods in diagnostic radiation were applied to therapy using the International Electro-technical Commission standard (IEC 62220-1). Various radiation therapy (RT) devices such as TrueBeam$^{TM}$(Varian), BEAMVIEW$^{PLUS}$(Siemens), iViewGT(Elekta) and Clinac$^R$ iX (Varian) were used. In order to measure the region of interest (ROI) of the NPS, we used the following four factors: the overlapping impact, the non-overlapping impact, the flatness and penumbra. As for NPS results, iViewGT(Elekta) had the higher amplitude of noise, compared to BEAMVIEW$^{PLUS}$ (Siemens), TrueBeam$^{TM}$(Varian) flattening filter, Clinac$^{R}$iXaS1000(Varian) and TrueBeam$^{TM}$(Varian) flattening filter free. The present study revealed that various factors could be employed to produce megavoltage imaging (MVI) of the NPS and as a baseline standard for NPS methodologies control in MVI.

키워드

참고문헌

  1. Gopal A, Samant SS. Use of a line-pair resolution phantom for comprehensive quality assurance of electronic portal imaging devices based on fundamental imaging metrics. Med Phys 36, 2006-2015 2009 https://doi.org/10.1118/1.3099559
  2. Sawant A, Antonuk LE, El-Mohri Y. Slit Design for Efficient and Accurate MTF Measurement at Megavoltage X-ray Energies. Med Phys 34, 1535-1545, 2007 https://doi.org/10.1118/1.2717405
  3. Jung-Min Kim, Jung-Whan Min, Hoi-Woun Jeong et al: Correction Method of slit Modulation Transfer function on Digital Medical Imaging System. Journal of Radiological Science and Technology, 29(3), 133-139, 2006
  4. Jung-Whan Min, Ki-Won Kim, Jung-Min Kim et al: Evaluation of image quality by using a tungsten edge block in a megavoltage (MV) X-ray imaging. Korean Journal of Medical Physics, 23(3), 154-161, 2012
  5. Soon-Yong Son, Hoi-Woun Jeong, Jung Whan Min et al: Evaluati on o f Image Quali ty f or V ari ous Electronic Portal Imaging Devices in Radiation Therapy. Journal of Radiological Science and Technology, 38(4), 451-461, 2015 https://doi.org/10.17946/JRST.2015.38.4.16
  6. Soon-Yong Son, Hoi-Woun Jeong, Jung Whan Min et al: Measurement of Image Quality According to the Time of Computed Radiography System. Journal of Radiological Science and Technology, 38(4), 365-374, 2015 https://doi.org/10.17946/JRST.2015.38.4.05
  7. Sei bert JA, Bogucki TM, Ciona T, Huda W, Karellas A, Mercier JR, et al. Report of AAPM Task Group 10, 1, 2006
  8. IEC (International Electrotechnical Commission), IEC 62220-1 (2003).
  9. Cho HM, Kim HJ, Lee CL, et al: Imaging characteristics of the direct and mobile indirect digital radiographic systems. Proc IEEE M19-199, 3840-3846, 2007
  10. H Illers, E Buhr, C Hoeschen: Measurement of the detective quantum efficiency (DQE) of digital X-ray detectors according to the novel standard IEC 62220-1. Radiat Prot Dosimetry 114 (1-3), 39-44, 2005 https://doi.org/10.1093/rpd/nch507
  11. Dobbins III JT, Samei E, Ranger NT, et al: Intercomparison of methods for image quality characterization. II. Noise power spectrum. Med Phys 33, 1466-1475, 2006 https://doi.org/10.1118/1.2188816
  12. Fujita H, Tsai DY, Itoh T, et al: A simple method for determining the modulation transferfunction in digital radiography. IEEE Trans Med Imaging 11, 34-39, 1992 https://doi.org/10.1109/42.126908
  13. Hoi-Woun Jeong, Jung-Whan Min, Jung-Min Kim et al: Performance characteristic of a Cs I (TI) Flat panel detector radiography system. Journal of Radiological Science and Technology, 35(2), 109-117, 2012