Browse > Article
http://dx.doi.org/10.9718/JBER.2020.41.4.147

The Usability Assessment of Self-developed Phantom for Evaluating Automatic Exposure Control System Using Three-Dimensions Printing  

Lee, Ki-Baek (Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center)
Nam, Ki-Chang (Department of Medical Engineering, Dongguk University College of Medicine)
Kim, Ho-Chul (Department of Radiological Science, Eul-Ji University)
Publication Information
Journal of Biomedical Engineering Research / v.41, no.4, 2020 , pp. 147-153 More about this Journal
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.
Keywords
Three-dimensions printing; Automatic exposure control; Self-developed phantom; Tube current; Computed tomography;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
연도 인용수 순위
1 Smith-Bindman R, Lipson J, Marcus R, et al. Radiation Dose Associated with Common Computed Tomography Examinations and the Associated Lifetime Attributable Risk of Cancer. Arch Intern Med. 2015;169(22):2078-86.   DOI
2 Brenner DJ, Hall EJ. Computed tomography-an increasing source of radiation exposure. N Engl J. Med. 2007;357(22):2277-84.
3 Goo HW. CT radiation dose optimization and estimation: an update for radiologists. Korean J Radiol. 2012;13(1):1-11.   DOI
4 Gunn ML, Kohr JR. State of the art: technologies for computed tomography dose reduction. Emerg Radiol. 2010;17(3):209-18.   DOI
5 Lee KB, Goo HW. 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 J Radiol. 2018;19(1):119-29.   DOI
6 Lee KB, Lee WH, Lee JH, et al. Dose reduction and image quality assessment in MDCT using AEC (D-DOM& Z-DOM) and In-plane Bismuth shielding. Radiat Prot Dosimetry. 2010;141(2):162-7.   DOI
7 Choi MH, Jang JS, Lee KB. A Study on the Indirect Radiation Exposure of the Medical Personnel Who is Responsible for Patient Safety in CT Examination. Journal of Radiological Science and Technology. 2019;42(2):105-11.
8 Lechel U, Becker C, Langenfeld-jager G, et al. Dose reduction by automatic exposure control in multidetector computed tomography: comparison between measurement and calculation. Eur Radiology. 2009;19(4):1027-34.   DOI
9 Kong HG, Lee KB. Radiation Dose Comparison according to Different Organ Characteristics at Same Scan Parameters Using CareDose 4D: An Adult and Pediatric Phantom Evaluation. Journal of Radiological Science and Technology. 2019;42(4):271-7.
10 Ministry of Health and Welfare. Rules for the installation and operation of special medical equipment. Ministry of Health and Welfare law. 2015;339.
11 Lee KB, Cho YB, Jeong HK, et al. The study on quantitative assessment method of CT image in quality control: focusing on spatial and low contrast resolution. Journal of the institute of electronics and information engineers. 2017;54(12):186-94.   DOI
12 Lawrence EM. Frontiers of 3D Printing/Additive Manufacturing: from Human Organs to Aircraft Fabrication. J Mater Sci Technol. 2016;32:987-95.   DOI
13 Park SH, Park JH, Lee HJ, Lee NK. Current Status of Biomedical Applications using 3D Printing Technology. Korean Society for Precision Engineering. 2014;31(12):1067-76.
14 Kim SH, Yoon JS, Yoo SK. Optimization Research of 3D Printer Associated with Properties of Photocurable Resins for Ocular Prosthesis Producing. J Biomed Eng Res. 2019;40(2):55-61.   DOI
15 He Y, Xue GH, Fu JZ. Fabrication of low cost soft tissue prostheses with the desktop 3D printer. Sci Rep. 2015;4:6973.   DOI
16 Yoon MS, Hong SM, Heo YC, Han DK. A Study on the Fabrication and Comparison of the Phantom for Computed Tomography Image Quality Measurements Using Three-Dimensions Printing Technology. Journal of Radiological Science and Technology. 2018;41(6):595-602.
17 Kalra MK, Maher MM, Togh TL. Techniques and applications of automatic tube current modulation for CT. Radiology. 2004;233(3):649-57.   DOI
18 Kalra MK, Dang P, Singh S. In-Plane Shielding for CT: Effect of Off-Centering, Automatic Exposure Control and Shield-to- Surface Distance. Korean J Radiol. 2009;10(2):156-63.   DOI
19 Lee GB, Kim JH. 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. 2016;18(1):47-56.