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http://dx.doi.org/10.17946/JRST.2021.44.1.31

Evaluation of Noise Power Spectrum Characteristics by Using Magnetic Resonance Imaging 3.0T  

Min, Jung-Whan (Department of Radiological technology, Shingu University)
Jeong, Hoi-Woun (Department of Radiological Science, Baekseok Culture University)
Kim, Seung-Chul (Institute of Health Sciences Reserch, Korea University)
Publication Information
Journal of radiological science and technology / v.44, no.1, 2021 , pp. 31-37 More about this Journal
Abstract
This study aim of quantitative assessment of Noise Power Spectrum(NPS) and image characteristics of by acquired the optimal image for noise characteristics and quality assurance by using magnetic resonance imaging(MRI). MRI device was (MAGNETOM Vida 3.0T MRI; Siemense healthcare system; Germany) used and the head/neck shim MR receive coil were 20 channels coil and a diameter 200 mm hemisphere phantom. Frequency signal could be acquired the K-space trajectory image and white image for NPS. The T2 image highest quantitatively value for NPS finding of showed the best value of 0.026 based on the T2 frequency of 1.0 mm-1. The NPS acquired of showed that the T1 CE turbo image was 0.077, the T1 CE Conca2 turbo image was 0.056, T1 turbo image was 0.061, and the T1 Conca2 turbo image was 0.066. The assessment of NPS image characteristics of this study were to that could be used efficiently of the MRI and to present the quantitative evaluation methods and image noise characteristics of 3.0T MRI.
Keywords
Magnetic resonance imaging; Noise power spectrum; Modulation transfer function; Quality assurance; Noise;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Min JW, Jeong HW, Kim KW, et al. Study on the resolution characteristics by using magnetic resonance imaging 3.0T. Journal of Radiological Science and Technology. 2020;43(4):251-57.   DOI
2 Min JW, Jeong HW, Kim KW, et al. Comparison of noise power spectrum in measurements by using international electro-technical commission standard devices in indirect digital radiography. Journal of Radiological Science and Technology. 2018;41(5):457-62.   DOI
3 Jeong HW, Min JW, Kim JM, et al. Investigation of physical imaging properties in various digital radiography system. Journal of Radiological Science and Technology. 2017;40(3):363-70.   DOI
4 Jeong HW, Min JW, Kim JM, et al. Performance characteristic of a CsI(Tl) flat panel detector radiography system. Journal of Radiological Science and Technology. 2012;35(2):109-17.
5 Min JW, Jeong HW, Kim KW, et al. Evaluation of image quality for various electronic portal imaging devices in radiation therapy. Journal of Radiological Science and Technology. 2015;38(4):451-61.   DOI
6 Hahm HK. The study on the subject development of MRI image quality evaluation. Department of Radiology, Graduate school of Public Health Eulji University; 2008.
7 Min JW, Jeong HW. Comparison of modulation transfer function in measurements by using edge device angle in indirect digital radiography. Journal of Radiological Science and Technology. 2019; 42(4):259-63.   DOI
8 Kim KW, Jeong HW, Min JW, et al. Measurement of image quality according to the time of computed radiography system. Journal of Radiological Science and Technology. 2015;38(4):365-74.   DOI
9 Kim KW, Jeong HW, Min JW, et al. Evaluation of the performance characteristic for mammography by using edge device. Journal of Radiological Science and Technology. 2016a;39(3):415-20.   DOI
10 Kim KW, Jeong HW, Min JW, et al. Evaluation of the modulation transfer function for computed tomography by using American association physics medicine phantom. Journal of Radiological Science and Technology. 2016b;39(2):193-8.   DOI
11 Fujita H, Tasai DY, Itoh T, et al. A simple method for determining the modulation transfer function in digital radiography. IEEE Trans Med Imaging. 1992;11(1):34-9.   DOI
12 Samei E, Flynn MJ, Reimann DA, et al. A method for measuring the presampled MTF of digital radiographic systems using an edge test device. Medical Physics. 1998;25:102.   DOI
13 Greer PB, Van Doorn T. Evaluation of an algorithm for the assessment of the MTF using an edge method. Medical Physics. 2000;27:2048.   DOI
14 Mohapatra SM, Turley JD, Prince JR, et al. Transfer function measurement and analysis for magnetic resonance imager. Med. Phys. 1991;18(6):1141-44.   DOI
15 Min JW, Jeong HW, Han JH, et al. Study on the physical imaging characteristics by using magnetic resonance imaging 1.5T. Journal of Radiological Science and Technology. 2019;42(5):329-34.   DOI
16 Miyati T, Fujita H, Kasuga T, et al. Measurements of MTF and SNR(f) using a subtraction method im MRI. Physics in Medicine and Biology. 2002;47: 2961-72.   DOI
17 Steckner MC, Drost DJ, Prato FS. Computing the modulation transfer function of a magnetic resonance imager. Med. Phys. 1994;21:483-9.   DOI