Changes of Radiation Dose and Image Quality Due to Additional Filtration Material in Computed Radiography

Computed Radiography에서 Additional Filtration Material에 따른 Radiation Dose와 Image Quality의 변화

  • Kwon, Soon-Mu (Department of Radiological Science, The Graduate School of Catholic University of Daegu) ;
  • Cho, Hyung-Wook (Department of Radiological Science, The Graduate School of Catholic University of Daegu) ;
  • Kang, Yeong-Han (Department of Radiology, Catholic University Hospital of Daegu School of Medicine) ;
  • Kim, Boo-Soon (Department of Radiologicic Technology, Daegu Health College) ;
  • Kim, Jung-Su (Department of Bio-convergence Engineering, Korea University Graduate School)
  • 권순무 (대구가톨릭대학교 대학원 방사선학과) ;
  • 조형욱 (대구가톨릭대학교 대학원 방사선학과) ;
  • 강영한 (대구가톨릭대학교병원 영상의학과) ;
  • 김부순 (대구보건대학교 방사선과) ;
  • 김정수 (고려대학교 대학원 바이오융합공학과)
  • Received : 2014.11.03
  • Accepted : 2014.12.01
  • Published : 2014.12.31

Abstract

Filter absorbs low-energy X-ray to increase the average energy and reduces patient exposure dose. This study investigates if the materials of Mo and W could be used for the digital imaging device CR by conducting image assessment and dose measurement of SNR, FOM and histogram. In addition, measurement of beam quality was conducted depending on the material of the filter, and at the same time, a proper combination of filters was examined depending on the change in tube voltage (kVp). In regard to entrance skin dose, Mo filter showed the dose reduction by 42~56%, compared to Cu filter. Moreover, Mo filter showed higher transmission dose by around 1.5 times than that of Cu filter. In image assessment, it was found that W was unsuitable to be used as a filter, whereas Mo could be used as a filter to reduce dose without decline in image quality at the tube voltage of 80 kVp or higher. As tube voltage increased, 2.0 mm Al+0.1 mm Mo almost had a similar histogram width to that of 2.0 mm Al+0.2 mm Cu. Therefore, Mo filter can be used at relatively high tube voltage of 80 kVp, 100 kVp and 120 kVp. The SNR of 2.0 mm Al+0.1 mm Mo did not show any significant difference from those of 2.0 mm Al+0.2 mm Cu and 2.0 mm Al+0.1 mm Cu. As a result, if Mo filter is used to replace Cu filter in general radiography, where 80 kVp or higher is used for digital radiation image, patient exposure dose can be reduced significantly without decline in image quality, compared to Cu filter. Therefore, it is believed that Mo filter can be applied to chest X-ray and high tube voltage X-ray in actual clinical practice.

필터는 저에너지 X선을 흡수함으로써 평균에너지를 증가시키고, 환자의 피폭선량을 감소시키는 작용을 한다. 본 연구는 Mo과 W 등의 재질이 디지털 방사선영상장치인 CR에서도 사용이 가능한지 SNR, FOM, histogram 등의 영상평가와 선량 측정을 통해 확인하였다. 또한 필터의 재질에 따른 선질측정과 함께 관전압의 변화에 따른 적합한 필터 조합을 찾아보았다. 피부입사선량은 Mo필터가 Cu필터에 비해 42~56%까지 선량 경감효과가 있었고, 투과선량도 Mo필터가 Cu필터보다 1.5배 정도 높게 나타났다. 영상 평가에서 W은 필터로 사용함에 부적절하였으나, Mo은 80 kVp 이상의 관전압에서 영상의 질을 저하시키지 않으면서 선량을 감소시킬 수 있는 필터로 충분히 사용할 수 있음을 확인하였다. 2.0 mmAl+0.1 mmMo은 관전압이 높아질수록 2.0 mmAl + 0.2 mmCu와 histogram width가 거의 같아서, 비교적 높은 관전압인 80, 100, 120 kVp에서는 Mo필터의 사용이 가능하다. 2.0 mmAl + 0.1 mmMo의 SNR은 2.0 mmAl + 0.2 mmCu와 2.0 mmAl+0.1 mmCu의 SNR과도 큰 차이가 나지 않았다. 따라서 디지털 방사선 영상 중 80 kVp 이상을 이용하는 일반촬영에서 Cu를 대신하여 Mo을 필터로 사용하면 Cu에 비해 영상의 질을 저하시키지 않으면서 환자의 피폭선량을 크게 감소시킬 수 있으므로, 실제 임상의 흉부 촬영 및 고관전압 촬영 등에 충분히 적용할 수 있다고 본다.

Keywords

References

  1. Sandborg M, Carlsson CA, Carlsson GA: Shaping x-ray spectra with filters in x-ray diagnostics, Med Biol Eng Comput, 32(4), 384-390, 1994 https://doi.org/10.1007/BF02524689
  2. Behrman RH: The impact of increased Al filtration on x-ray tube loading and image quality in diagnostic radiology, Med Phys, 30(1), 9-78, 2003 https://doi.org/10.1118/1.1524168
  3. National Council on Radiation Protection and Measurements(NRCP): Medical X-ray and Gamma ray protection for energies up to 10 MeV, NRCP report No. 33, Washington, National Council on Radiation Protection and Measurements, 1968
  4. RK Grewal, N Young, L Collins, N Karunaratne, R Sabharwal: Digital chest radiography image quality assessment with dose reduction, Australasian Physical & Engineering Sciences in Medicine, 35(1), 71-80, 2012 https://doi.org/10.1007/s13246-012-0125-5
  5. Martin C: The importance of radiation quality for optimisation in radiology, Biomed Imaging Interv J, 3(2), e38, 2007
  6. Rossi RP, Harnisch B, Hendee WR: Reduction of radiation exposure in radiography of the chest, Radiology, 144(4), 909-914, 1982 https://doi.org/10.1148/radiology.144.4.7111745
  7. Hamer OW, Sirlin CB, Strotzer M, Borisch I, Zorger N, Feuerbach S, Volk M: Chest radiography with a flat-panel detector: Image quality with dose reduction after copper filtration, Radiology, 237(2), 691-700, 2005 https://doi.org/10.1148/radiol.2372041738
  8. Dance DR, Thilander AK, Sandborg M, Skinner CL, Castellano IA, Carlsson GA: Influence of anode/filter material and tube potential on contrast, signal-to-noise ratio and average absorbed dose in mammography: a Monte Carlo study, BJR, 73, 1056-1067, 2000 https://doi.org/10.1259/bjr.73.874.11271898
  9. Nishino TK, Wu X, Johnson RF Jr: Thickness of molybdenum filter and squared contrast-to-noise ratio per dose for digital mammography, AJR, 185(4), 960-963, 2005 https://doi.org/10.2214/AJR.04.1489
  10. Han Jun Yang, Sin Kwan Ko, Mi hwa Joo: Evaluation of MTF Image by Target/Filter combined of X-ray tube using mammography, Journal of Radiological Society and Technology, 30(2), 113-119, 2007
  11. Villagran JE, Hobbs BB, Taylor KW: Reduction of patient exposure by use of heavy elements as radiation filters in diagnostic radiology, Radiology, 127(1), 249-254, 1978 https://doi.org/10.1148/127.1.249
  12. Sandborg M, McVey G, Dance DR, Alm Carlsson G: Schemes for the optimization of chest radiography using a computer model of the patient and x-ray imaging system, Med Phys, 28(10), 2007-2019, 2001 https://doi.org/10.1118/1.1405840
  13. Williams MB, Raghunathan P, More MJ etc: Optimization of exposure parameters in full field digital mammography, Med Phys, 35(6), 2414-2423, 2008 https://doi.org/10.1118/1.2912177
  14. Nam-gil Choi, Ho-Jin Seong, Joo-Seop Jeon, Youn-Hyun Kim and Dong-Ook Seong: A comparative study of image quality and radiation dose according to variable added filter and radiation exposure in diagnostic x-ray radiography, J Radiat Prot, 37(1), 25-34, 2012 https://doi.org/10.14407/jrp.2012.37.1.025
  15. Aichinger H, Dierker J, Joite-Barfuss S, Sabel M: Radiation exposure and Image Quality in x-ray Diagnostic Radiology, Heidelverg, Germany, Springer Verlag, 2004
  16. Doyle P, Martin CJ, Gentle D: Application of contrast-to-noise ratio in optimizing beam quality of digital chest radiography: comparison of experimental measurements and theoretical simulations, Phys Med Biol, 51(11), 2953-2970, 2006 https://doi.org/10.1088/0031-9155/51/11/018