DOI QR코드

DOI QR Code

어깨관절 컴퓨터 단층 검사 시 발생하는 노이즈 및 줄무늬 인공물 감소에 대한 융합 연구

A Convergence Study on the Reduction of Noise and Streak Artifacts in Shoulder Joint Computed Tomography

  • 장현철 (수성대학교 방사선과) ;
  • 조평곤 (대구가톨릭대학교 방사선학과)
  • Jang, Hyon-Chol (Department of Radiological Technology, Suseong University) ;
  • Cho, Pyong-Kon (Department of Radiological Science, Daegu Catholic University)
  • 투고 : 2021.05.10
  • 심사 : 2021.07.20
  • 발행 : 2021.07.28

초록

어깨관절 컴퓨터 단층 검사 시 발생하는 노이즈 및 줄무늬 인공물에 있어 Boost3D 알고리즘 적용을 통해 노이즈 및 줄무늬 인공물 감소 효과를 알아보고자 하였다. 어깨관절이 포함된 흉부팬텀을 이용한 팬텀 연구와 2020년 9월부터 2020년 10월까지 어깨관절 컴퓨터단층검사를 실시한 35명에 대한 어깨관절 영상을 통해 임상 평가를 하였다. 평가는 Boost3D 알고리즘 적용 전 그룹과 후 그룹으로 나누어 노이즈 값, 신호 대 노이즈 비, 평균 대 표준편차 비 값을 분석하였다. 팬텀 영상 평가 및 임상 영상 평가에서 분석한 노이즈 값 및 평균 대 표준편차 비 값 모두 Boost3D 적용 후 그룹에서 통계적으로 유의하게 낮게 나타났다(p<0.05). 본 연구를 통해 Boost3D 적용을 통해 노이즈 및 줄무늬 인공물이 감소됨을 알 수 있었으며, 평균 대 표준편차 비 값이 높게 나타나 우수한 영상으로 판단할 수 있다. 어께관절 컴퓨터 단층 검사 시 Boost3D 알고리즘을 이용한다면 어깨관절 부위에서 발생할 수 있는 노이즈 및 줄무늬 인공물을 감소시킨 우수한 영상을 얻을 수 있을 것으로 생각된다.

The purpose of this study was to investigate the effect of reducing noise and streaking artefacts by applying the Boost3D algorithm in the case of noise and streaking artifacts generated during computed tomography of the shoulder joint. A phantom study using a thoracic phantom including shoulder joint and clinical evaluation were conducted through shoulder joint images of 35 patients who underwent computed tomography of the shoulder joint from September 2020 to October 2020. The evaluation was divided into groups before and after the application of the Boost3D algorithm, and the noise values, signal to noise ratio, and mean to standard deviation ratio values were analyzed. Both noise values and mean to standard deviation ratio values analyzed in phantom image evaluation and clinical image evaluation were statistically significantly lower in the group after Boost3D was applied (p<0.05). Through this study, it was found that noise and streak artifacts were reduced through the application of Boost3D, and the mean to standard deviation ratio was high, which can be judged as an excellent image. If the Boost3D algorithm is used for computed tomography of the shoulder joint, it is thought that excellent images can be obtained with reduced noise and streaking artifacts that may occur in the shoulder joint area.

키워드

참고문헌

  1. C. H. Lim, J. K. Cho & M. K. Lee. (2007). A Study on Radiation Dose in Computed Tomographic Examinations. J Radiological Science and Technology, 30(4), 381-389. DOI : http://www.riss.kr/link?id=A76487184
  2. M. Y. Yoo, S. Park, H. J. Jang, J. W. Lee & D. C. Kweon. (2014). Comparison of Image Quality and Dose According to the Arm Positioning in the Chest CT. J Korean Society of Radiology, 8(2), 75-79. DOI : 10.7742/JKSR.2014.8.2.75
  3. B. U. Joo, D. W. Seo, K. B. Im, S. H. Kang & J. S. Lim. (2015). Evaluation of Image Quality and the Usefulness with-without Opposite Upper Extremity Elevation During a One-Sided Shoulder CT Scan. J Korean Society of Computed Tomographic Technology, 17(1), 117-124.
  4. R. J. Neviaser, T. J. Neviaser & J. S. Neviaser. (1993). Anterior dislocation of the shoulder and rotator cuff rupture. Clinical Orthopaedics Related Research, 291, 103-106. DOI : 10.1097/00003086-199306000-00012
  5. M. Chabior et al. (2011). Beam hardening effects in grating-based x-ray phase-contrast imaging, Medical physics, 38(3), 1189-1195. DOI : 10.1118/1.3553408
  6. M. J. Kim et al. (2013). Evaluation of Clinical Availability for Shoulder Forced Traction Method to Minimize the Beam Hardening Artifact in Cervical-spine CT. J Korean Society of Radiology, 7(1), 37-44. DOI : 10.7742/jksr.2013.7.1.037
  7. C. H. Lee, M. Goo & H. J. Ye. (2008). Radiation dose modulation techniques in the Multidetector CT Era: from basics to practice. RadioGraphics, 28(5), 1451-1459. DOI : 10.1148/rg.285075075
  8. A. B. Smith, W. P. Dillon & B. C. Lau. (2008). Radiation dose reduction strategy for CT Protocols: successful implementation in neuro radiology section. Radiology, 247(2), 499-506. DOI : 10.1148/radiol.2472071054
  9. H. C. Jang, K. K. Kim, J. H. Cho, J. M. Seo & H. K. Lee. (2012). Evaluation of Image Noise and Radiation Dose Analysis In Brain CT Using ASIR. J Korean Society of Radiology, 6(5), 357-363. DOI : 10.7742/JKSR.2012.6.5.357
  10. Y. H. Ko, D. C. Kwon & K. K. Kim. (2017). Textbook of Computed Tomography. Seoul : Chung-gu Publishing.
  11. W. C. Jeong, G. S. Lee, H. K. Kang, S. H. Lee, C. N. Kim & K. W. Kim. (2013). Study on the influence of kVp for Metal Artifact in the Brain CTA Scan. J Korean Society of Computed Tomographic Technology, 15(1), 181-189.
  12. N. S. Paul et al. (2010). The reduction of image noise and streak artifact in the thoracic inlet during low dose and ultra low dose thoracic CT. Physics in Medicine & Biology, 55, 1363-1380. DOI : 10.1088/0031-9155/55/5/007
  13. P. K. Cho. (2017). Comparative Evaluation of Image after Applying Quantum Denoising System Algorithm to Brain Computed Tomography. Journal of Radiological Science and Technology, 4(4), 589-594. DOI : 10.17946/JRST.2017.40.4.08
  14. M. Kazama M. S. Tsukagoshi & M. Okumura. (2006). Image quality improvement and exposure dose reduction with the combined use of X-ray modulation and Boost3D. Physics of Medical Imaging, 61422G. DOI : 10.1117/12.653092