DOI QR코드

DOI QR Code

Optimization of Image Quality according to Sensitivity and Tube Voltage in Chest Digital Tomosynthesis

디지털 흉부단층합성검사에서 감도와 관전압 변화에 따른 영상 최적화

  • Kim, Sang-Hyun (Department of Radiology, Seoul National University Hospital)
  • 김상현 (신한대학교 방사선학과)
  • Received : 2018.07.05
  • Accepted : 2018.08.31
  • Published : 2018.08.31

Abstract

To evaluate the effect of dose and image quality for Chest Digital Tomosynthesis(CDT) using sensitivity and tube voltage(kV). CDT images of the phantom were acquired varying sensitivity 200, 320, 400 according to set tube voltage of 125 kV and 135 kV. The dose and Dose Area Product(DAP) according to change of sensitivity and kV were evaluated and Image quality was evaluated by PSNR, CNR, SNR using Image J. Dose were lowered 14~23% less than sensitivity 200, 125 kV and DAP were lowered 13~26% less than sensitivity 200, 125 kV. PSNR were over 27 dB, which were significant value and CNR, SNR were better as sensitivity value was lower. But there were different statistical significant to each item. CNR and SNR were not statistically significant at sensitivity 320, 135 kV(P>0.05). CDT can improve image quality with lower radiation dose using better than quality and correction power at digital radiography system.

흉부 디지털 단층합성(chest digital tomosynthesis, CDT) 검사 시 관전압 및 감도(sensitivity) 변화에 의한 선량감소 효과와 정량적 평가로 선량 최적화 조건을 평가하고자 한다. 관전압 125 kV, 135 kV 설정에 따른 sensitivity 200, 320, 400 변화하여 팬텀의 CDT 영상을 획득하였다. 감도와 관전압 변화 따른 선량과 면적선량(DAP)을 평가하였다. 화질평가는 최대신호 대 잡음비(PSNR), 대조도 대 잡음비(CNR), 신호 대 잡음비(SNR)를 image J를 이용하여 분석하였다. 선량은 14~23%, 면적선량은 13~26% 정도 sensitivity 200, 125 kV에 비해 측정치가 낮아졌고, sensitivity 가 높아짐에 따라 감소율 커짐을 알 수 있었다. PSNR은 27dB 이상으로 모두 의미 있는 수치였고, CNR, SNR은 sensitivity가 낮을수록 우수했으나, 항목마다 통계의 유의성은 달랐다. CNR과 SNR 모두 sensitivity 320, 135 kV가 sensitivity 200, 125 kV와 통계적으로 유의하지 않았다(p>0.05). CDT는 감도, 관전압과 디지털 촬영의 장비의 장점인 보정능력을 이용하여 더 작은 선량으로 화질을 유지 시킬 수 있다.

Keywords

References

  1. Y. N. Choi, J. H. Kim, K. R. Bae, C. K. Cho, H. S. Y, "A Case of Non-Small Cell Lung Carcinoma Patient Who Improved Skin Rash Due to Olmutinib by Administration of Nobongsangki-Jeong," Journal of Korea Traditional Oncology, Vol. 22, No. 1, pp. 13-22, 2017. https://doi.org/10.15432/JKTO.2017.22.1.013
  2. J. M. Lee, H. J. Kim, Y. H. Choi, G. Y. Chi, S. H. Park, "Synergistic Anticancer Effect of Astragalus Membranaceus and Adenophora Triphylla Var. Japonica in H1299 Human Lung Carcinoma Cells," Journal of physiology & pathology in Korean Medicine, Vol. 31, No. 2, pp. 111-117, 2017. https://doi.org/10.15188/kjopp.2017.04.31.2.111
  3. Arianna Ferrari, Luca Bertolaccini, Piergiorgio Solli, Paola Oriana Di Salvia, David Scaradoz, "Digital chest tomosynthesis: the 2017 updated review of an emerging application," Annals of Translational Medicine, Vol. 6, No. 5, pp. 91, 2018. https://doi.org/10.21037/atm.2017.08.18
  4. H. J. Kwak, D. H. Kim, M. K. Kim, W. H. Choe, Y. J. Lee, J. H, "Development of Image Reconstruction Algorithm for Chest Digital Tomosynthesis System (CDT) and Evaluation of Dose and Image Quality," Journal of the Institute of Electronics Engineers of Korea Vol. 53, No. 9, pp. 143-147, 2016.
  5. Dobbins James T, McAdams H. Page, "Chest tomosynthesis: Technical principles and clinical update," European Journal of Radiology, Vol. 72, No. 2, pp. 244-251, 2009. https://doi.org/10.1016/j.ejrad.2009.05.054
  6. T Gomi, M Nakajima, H Fujiwara, T Takeda, K Saito, T Umeda, K Sakaguchi, "Comparison between chest digital tomosynthesis and CT as a screening method to detect artificial pulmonary nodules: a phantom study," The British Journal of Radiology, Vol. 85, No. 1017, pp. 622-629, 2012. https://doi.org/10.1259/bjr/12643098
  7. Bath M, Svalkvist A, von Wrangel A, Rismyhr-Olsson H, Cederblad A, "Effective dose to patients from chest examinations with tomosynthesis," Radiation Protection Dosimetry, Vol. 139, No. 1-3, pp. 153-158, 2010. https://doi.org/10.1093/rpd/ncq092
  8. Quaia E, Baratella E, Cioffi V, Bregant P, Cernic S, Cuttin R, et al, "The value of digital tomosynthesis in the diagnosis of suspected pulmonary lesions on chest radiography: analysis of diagnostic accuracy and confidence," Academic Radiology, Vol. 17, No. 10, pp. 1267-1274, 2010. https://doi.org/10.1016/j.acra.2010.05.009
  9. Svalkvist A, Bath M, "Simulation of dose reduction in tomosynthesis," Medical Physics, Vol. 37, No. 1, pp. 258-269, 2010. https://doi.org/10.1118/1.3273064
  10. S. H. Kim, Y. M. Kim, K. T. Kwon, S. H. Ma, D. K. Han, "Analysis of effectiveness of aluminium filter in the added compound filtration by detective quantum efficiency and image quality evaluation," The Journal of the Korea Contents Association, Vol. 15, No. 10, pp. 362-373, 2015. https://doi.org/10.5392/JKCA.2015.15.10.362
  11. J. H. Hwang, K. B. Lee, "A study on the quantitative analysis method through the absorbed dose and the histogram in the performance evaluation of the detector according to the sensitivity change of auto exposure control(AEC) in DR(digital radiography)," International Journal of Contents, Vol. 18, No. 1, pp. 232-240, 2018.
  12. H. S. Park, M. S. Kim, H. M. Jeong, J. W. Lee, "A study on the optimization of image quality and dose in chest PA digital radiography," Journal of the Korea Society of Radiology, Vol. 11, No. 1, pp. 55-61, 2016. https://doi.org/10.7742/JKSR.2017.11.1.55
  13. J. K. Park, B. J. Jeong, H. H. Park, S. C. No, S. S. Kang, "The study for optimal exposure condition of chest examination of digital radiography system," Vol. 10, No. 2, pp. 109-114, 2014. https://doi.org/10.7742/jksr.2016.10.2.109

Cited by

  1. 디지털 방사선 시스템(DR)의 복부와 골반부 검사 시 관전압과 감도 변화에 따른 영상 화질과 방사선 출력의 안정성 평가 vol.19, pp.12, 2018, https://doi.org/10.5392/jkca.2019.19.12.517