과제정보
연구 과제 주관 기관 : Samsung Electronics, Korea Health Industry Development Institute (KHIDI)
참고문헌
- Rubinowitz AN, Siegel MD, Tocino I. Thoracic imaging in the ICU. Crit Care Clin 2007;23:539-573 https://doi.org/10.1016/j.ccc.2007.06.001
- Eisenhuber E, Schaefer-Prokop CM, Prosch H, Schima W. Bedside chest radiography. Respir Care 2012;57:427-443 https://doi.org/10.4187/respcare.01712
- Wandtke JC. Bedside chest radiography. Radiology 1994;190:1-10 https://doi.org/10.1148/radiology.190.1.8043058
- Kawamura T, Naito S, Okano K, Yamada M. Improvement in image quality and workflow of x-ray examinations using a new image processing method, "Virtual Grid Technology". Web site. http://www.fujifilm.com/about/research/report/060/pdf/index/ff_rd060_004_en.pdf. Published 2015. Accessed July 13, 2017
- Mentrup D, Specht S, Spieckermann J, Zorba G. Gridless imaging with SkyFlow: time savings and workflow improvements. Web site. https://www.usa.philips.com/b-dam/b2bhc/us/topics/radiology-patience-experience/SkyFlowwhitepaper-452299111471_LR.PDF. Published June 2015. Accessed July 13, 2017
- Mentrup D, Jockel S, Menser B, Neitzel U. Iterative scatter correction for grid-less bedside chest radiography: performance for a chest phantom. Radiat Prot Dosimetry 2016;169:308-312 https://doi.org/10.1093/rpd/ncv432
- Renger B, Brieskorn C, Toth V, Mentrup D, Jockel S, Lohofer F, et al. Evaluation of dose reduction potentials of a novel scatter correction software for bedside chest X-ray imaging. Radiat Prot Dosimetry 2016;169:60-67 https://doi.org/10.1093/rpd/ncw031
- Goo JM, Im JG, Kim JH, Seo JB, Kim TS, Shine SJ, et al. Digital chest radiography with a selenium-based flat-panel detector versus a storage phosphor system: comparison of soft-copy images. AJR Am J Roentgenol 2000;175:1013-1018 https://doi.org/10.2214/ajr.175.4.1751013
- Floyd CE Jr, Baker JA, Lo JY, Ravin CE. Measurement of scatter fractions in clinical bedside radiography. Radiology 1992;183:857-861 https://doi.org/10.1148/radiology.183.3.1584947
- Anderson DW. Introduction of grids to mobile ICU radiography in a teaching hospital. Br J Radiol 2006;79:315-318 https://doi.org/10.1259/bjr/66912494
- Moore CS, Wood TJ, Avery G, Balcam S, Needler L, Smith A, et al. Investigating the use of an antiscatter grid in chest radiography for average adults with a computed radiography imaging system. Br J Radiol 2015;88:20140613 https://doi.org/10.1259/bjr.20140613
- Scott AW, Gauntt DM, Yester MV, Barnes GT. High-ratio grid considerations in mobile chest radiography. Med Phys 2012;39:3142-3153 https://doi.org/10.1118/1.4711751
- Uffmann M, Schaefer-Prokop C. Digital radiography: the balance between image quality and required radiation dose. Eur J Radiol 2009;72:202-208 https://doi.org/10.1016/j.ejrad.2009.05.060
- Gauntt DM, Barnes GT. An automatic and accurate x-ray tube focal spot/grid alignment system for mobile radiography: system description and alignment accuracy. Med Phys 2010;37:6402-6410 https://doi.org/10.1118/1.3518085
- MacMahon H, Yasillo NJ, Carlin M. Laser alignment system for high-quality portable radiography. Radiographics 1992;12:111-120 https://doi.org/10.1148/radiographics.12.1.1734456
- Chae KJ, Goo JM, Ahn SY, Yoo JY, Yoon SH. Application of deconvolution algorithm of point spread function in improving image quality: an observer preference study on chest radiography. Korean J Radiol 2018;19:147-152 https://doi.org/10.3348/kjr.2018.19.1.147
- Lee K, Lee K, Lee S, Kim H. Workflow improvement with Samsung SimGrid SW. Web site. https://www.samsungmedicalsolution.com/en/common/whitePaper. Published February 22, 2016. Accessed July 13, 2017
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