Dose and Image Evaluations of Imaging for Radiotherapy

방사선치료를 위한 영상장비의 선량 및 영상 평가

  • Lee, Hyounggun (Department of Radiology Science, Korea University) ;
  • Yoon, Changyeon (Department of Radiology Science, Korea University) ;
  • Kim, Tae Jun (Department of Radiation Oncology, Kyung Hee University International Medical Service) ;
  • Kim, Dongwook (Department of Radiation Oncology, Kyung Hee University International Medical Service) ;
  • Chung, Weon Kyu (Department of Radiation Oncology, Kyung Hee University International Medical Service) ;
  • Park, Sung Ho (Department of Radiation Oncology, Asan Medical Center) ;
  • Lee, Wonho (Department of Radiology Science, Korea University)
  • 이형건 (고려대학교 보건과학대학 방사선과학과) ;
  • 윤창연 (고려대학교 보건과학대학 방사선과학과) ;
  • 김태준 (강동경희대학교병원 방사선종양학과) ;
  • 김동욱 (강동경희대학교병원 방사선종양학과) ;
  • 정원규 (강동경희대학교병원 방사선종양학과) ;
  • 박성호 (서울아산병원 방사선종양학과) ;
  • 이원호 (고려대학교 보건과학대학 방사선과학과)
  • Received : 2012.11.08
  • Accepted : 2012.12.07
  • Published : 2012.12.31

Abstract

The patient dose in advanced radiotherapy techniques is an important issue. These methods should be evaluated to reduce the dose in diagnostic imaging for radiotherapy. Especially, the Computed Tomography in radiotherapy has been used widely; hence the CT was evaluated for dose and image in this study. The evaluations for dose and image were done in equal condition due to compare the dose and image simultaneously. Furthermore, the possibility of dose and image evaluations by using the Monte Carlo simulation MCNPX was confirmed. We made the iterative reconstruction for low dose CT image to elevate image quality with Maximum Likelihood Expectation Maximization; MLEM. The system we developed is expected to be used not only to reduce the patient dose in radiotherapy, also to evaluate the overall factors of image modalities in industrial research.

최근 방사선치료 분야에 있어서 환자 선량이 중요한 쟁점이 되고 있다. 선량 감소를 위해 선진 기술을 이용한 방사선치료 시 사용하는 진단영상 장비에 대한 평가가 이루어져야 한다. 특히 CT는 방사선치료 분야에서 널리 사용되는 영상 장비이며, 본 연구에서는 CT의 선량과 영상에 대한 평가를 실시하였다. 선량과 영상을 동시에 비교할 수 있도록 동일한 조건 하에서 평가를 실시하였다. 또한 몬테카를로 시뮬레이션 툴인 MCNPX를 이용한 선량과 영상 평가가 가능하다는 것을 확인하였다. 저 선량 CT 영상의 질을 향상시키기 위하여 MLEM기법을 이용한 반복적 영상재구성 기법을 구축하였다. 본 연구의 평가 방법을 통해 방사선 치료 분야에서의 환자 선량을 줄이는 것뿐만 아니라 산업 연구 분야에서의 영상장비들의 총체적인 평가가 가능할 것이다.

Keywords

References

  1. Jaffray D: Emergent technologies for 3-dimensional image- guided radiation delivery. Semin Radiat Oncol 15:208-216 (2005) https://doi.org/10.1016/j.semradonc.2005.01.003
  2. Xing L, Thorndyke B, Schrelbmann E, et al: Overview of image-guided radiation therapy. Med Dosim 31:91-112 (2006) https://doi.org/10.1016/j.meddos.2005.12.004
  3. Murphy MJ: Tracking moving organs in real time. Semin Radiat Oncol 14:91-100 (2004) https://doi.org/10.1053/j.semradonc.2003.10.005
  4. Wagner LK, Eifel PJ, Geise RA: Potential biological effects following high x-ray dose interventional procedures. J Vasc Interv Radiol 5:71-81 (1994) https://doi.org/10.1016/S1051-0443(94)71456-1
  5. Shope TB: Radiation-induced skin injuries from fluoroscopy. Radiographics 16:1195-1199 (1996) https://doi.org/10.1148/radiographics.16.5.8888398
  6. Hall EJ, Wuu CS: Radiation-induced second cancers: The impact of 3D-CRT and IMRT. Int J Radiat Oncol Bio Phys 56:83-88 (2003) https://doi.org/10.1016/S0360-3016(03)00073-7
  7. AAPM Report Task Group 75: Medical Physics: The management of imaging dose during image-guided radiotherapy. The American Association of Physicists in Medicine, USA (2007)
  8. Kalet IJ, Austin-Seymour MM: The use of medical images in planning and delivery of radiation therapy. J Am Med inform Assoc 4:327-339 (1997) https://doi.org/10.1136/jamia.1997.0040327
  9. Lewis M: Radiation dose issues in multi-slice CT scanning. ImPACT technology update no.3 (2005)
  10. ImPACT Scan Report 05071: Siemens Somatom Sensation Open CT scanner technical evaluation. Imaging Performance Assessment of Computed Tomography, London (2005)
  11. McNitt-Gray MF: AAPM/RSNA Physics Tutorial for Residents: Topic in CT-Radiation Dose in CT1. Radio Graphics 22:1541-1553 (2002)
  12. IPEM Report 78: Catalogue of diagnostic X-ray spectra and other data. Institute of Physics and Engineering in Medicine, UK
  13. Lee C, Lee C, Park SH, Lee JK: Development of the two Korean adult tomographic computational phantoms for organ dosimetry. Med Phys 33(2):380-390 (2006) https://doi.org/10.1118/1.2161405
  14. $Catphan^{(R)}$ 500 and 600 Manual: The Phantom Laboratory, Greenwich (2010)
  15. Chang KH, Lee W, Choo DM, Lee CS, Kim Y: Dose Reduction in CT Using Bismuth Shielding; Measurements and Monte Carlo Simulations. Radiat Prot Dosimetry 138(4):382-388 (2009)
  16. Lange K, Carson R: EM reconstruction algorithms for emission and transmission tomography. J Comput Assist Tomogr 8:306-316 (1984)
  17. Huda W, Lieberman KA, Chang J, Roskopf ML: Patient size and x-ray technique factors in head computed tomography examinations. II. Image quality. Med Phys 3:595-601 (2004)