자동노출제어장치 평가를 위한 3D 프린팅 기반의 자체 제작 팬텀의 유용성 평가
The Usability Assessment of Self-developed Phantom for Evaluating Automatic Exposure Control System Using Three-Dimensions Printing
2
조회
0
다운로드
2
인용
0
참고문헌
키워드
초록
This study was to evaluate the usability of self-developed phantom for evaluating automatic exposure control (AEC) using three-dimensions (3D) printer. 3D printer of fused deposition modeling (FDM) type was utilized to make the self-developed AEC phantom and image acquisitions were conducted by two different type of scanners. The self-developed AEC phantom consisted of four different size of portions. As a result, two types of phantom (pyramid and pentagon shape) were created according to the combination of the layers. For evaluating the radiation dose with the two types of phantom, the values of tube current, computed tomography dose index volume (CTDIvol), and dose length product (DLP) were compared. As a result, it was confirmed that the values of tube current were properly reflected according to the thickness, and the CTDIvol and DLP were not significantly changed regardless of AEC functions of different scanners. In conclusion, the self-developed phantom by using 3D printer could assess whether the AEC function works well. So, we confirmed the possibility that a self-made phantom could replace the commercially expensive AEC performance evaluation phantom.
Abstract
This study was to evaluate the usability of self-developed phantom for evaluating automatic exposure control (AEC) using three-dimensions (3D) printer. 3D printer of fused deposition modeling (FDM) type was utilized to make the self-developed AEC phantom and image acquisitions were conducted by two different type of scanners. The self-developed AEC phantom consisted of four different size of portions. As a result, two types of phantom (pyramid and pentagon shape) were created according to the combination of the layers. For evaluating the radiation dose with the two types of phantom, the values of tube current, computed tomography dose index volume (CTDIvol), and dose length product (DLP) were compared. As a result, it was confirmed that the values of tube current were properly reflected according to the thickness, and the CTDIvol and DLP were not significantly changed regardless of AEC functions of different scanners. In conclusion, the self-developed phantom by using 3D printer could assess whether the AEC function works well. So, we confirmed the possibility that a self-made phantom could replace the commercially expensive AEC performance evaluation phantom.
참고문헌 (19)
- Smith-Bindman R, "Radiation Dose Associated with Common Computed Tomography Examinations and the Associated Lifetime Attributable Risk of Cancer", Arch Intern Med, 169(22), pp.2078~2086 (2015)
- Brenner DJ, "Computed tomography-an increasing source of radiation exposure", N Engl J. Med, 357(22), pp.2277~2284 (2007)
- 구현우, "CT Radiation Dose Optimization and Estimation: an Update for Radiologists", Korean Journal of Radiology, 13(1), pp.1~11 (2012), 대한영상의학회
- Gunn ML, "State of the art : technologies for computed tomography dose reduction", Emerg Radiol, 17(3), pp.209~218 (2010)
- Ki Baek Lee, "Quantitative Image Quality and Histogram-Based Evaluations of an Iterative Reconstruction Algorithm at Low-to-Ultralow Radiation Dose Levels: A Phantom Study in Chest CT", Korean Journal of Radiology, 19(1), pp.119~129 (2018), 대한영상의학회[DOI]
- Lee KB, "Dose reduction and image quality assessment in MDCT using AEC (D-DOM& Z-DOM)and In-plane Bismuth shielding", Radiat Prot Dosimetry, 141(2), pp.162~167 (2010)
- 최민혁, "전산화단층촬영검사 시 검사실 내에 위치할 수 있는 의료인의 간접 피폭선량에 대한 연구", 방사선기술과학, 42(2), pp.105~111 (2019), 대한방사선과학회
- Lechel U, "Dose reduction by automatic exposure control in multidetector computed tomography: comparison between measurement and calculation", Eur Radiology, 19(4), pp.1027~1034 (2009)
- 공효금, "CareDose 4D 사용 시 동일한 스캔조건에서 조직기반설정을 다르게 적용함에 따른 선량 비교: 성인과 소아팬텀 연구", 방사선기술과학, 42(4), pp.271~277 (2019), 대한방사선과학회
- Ministry of Health and Welfare, "Rules for the installation and operation of special medical equipment", Ministry of Health and Welfare law, 339~ (2015)
- 이기백, "CT영상의 품질관리 시 자동화된 정량적 평가방법에 관한 연구: 공간 분해능과 대조도 분해능 중심으로", 전자공학회논문지, 54(12), pp.186~194 (2017), 대한전자공학회
- Lawrence EM, "Frontiers of 3D Printing", Additive Manufacturing : from Human Organs to Aircraft Fabrication, 2016, pp.32, 987~995
- 박석희, "3D프린팅 활용 생체의료분야 기술동향", 한국정밀공학회지, 31(12), pp.1067~1076 (2014), 한국정밀공학회
- 김소현, "의안 제작을 위한 광경화 방식 3D 프린터에 적용 가능한 소재 선정 및 장비 최적화를 위한 실험적 연구", 의공학회지, 40(2), pp.55~61 (2019), 대한의용생체공학회
- He Y, "Fabrication of low cost soft tissue prostheses with the desktop 3D printer", Sci Rep, 4, pp.6973~ (2015)
- 윤명성, "삼차원 프린팅 기술을 이용한 전산화단층영상 품질 측정용 팬텀 제작 및 비교 연구", 방사선기술과학, 41(6), pp.595~602 (2018), 대한방사선과학회[DOI]
- Kalra MK, "Techniques and applications of automatic tube current modulation for CT", Radiology, 233(3), pp.649~657 (2004)
- Lee GB, "The Effect of Radiation Dose and Image Quality using AEC(Automatic Exposure Control)with Inappropriate Scout images : A Chest Phantom Experiment with Two Different AEC Modes", Journal of Korean Society of Computed Tomographic Technology, 18(1), pp.47~56 (2016)
- Mannudeep K. Kalra, "In-Plane Shielding for CT: Effect of Off-Centering, Automatic Exposure Control and Shield-to-Surface Distance", Korean Journal of Radiology, 10(2), pp.156~163 (2009), 대한영상의학회