참고문헌
- Townsend DW. Multimodality imaging of structure and function. Physics in Medicine and Biology. 2008;53(4):R1-9. https://doi.org/10.1088/0031-9155/53/4/R01
- Boellaard R, Rausch I, Beyer T, Delso G, Yaqub M, Quick HH, et al. Qauality control for quantitative multicenter whole-body PET/MR studies: A NEMA image quality phantom study with three current PET/MR systems. Medical Physics. 2015;42:5961-9. https://doi.org/10.1118/1.4930962
- Grant AM, Deller TW, Khalighi MM, Maramraju SH, Delso G, Levin CS. NEMA NU 2-2012 performance studies for the SiPM-basd ToF PET component of the GE SIGNA PET/MR system. Medical Physics. 2016;43:2334-43. https://doi.org/10.1118/1.4945416
- Teuho J, Johansson J, Linden J, Saunavaara V, Teras M. Comparison of single-scatter simulation and Monte Carlo single-scatter simulation on Philips Ingenuity TF PET/MR. IEEE symposium on Nuclear Science (NSS/MIC).
- Zaidi H, Ojha N, Morich M, Griesmer J, Hu Z, Maniawski P, et al. Design and performance evaluation of a whole-body Ingenuity TF PET-MRI system. Physics in Medicine and Biology. 2011;56:3091-106. https://doi.org/10.1088/0031-9155/56/10/013
- Delso G, Ziegler S. PET/MRI system design. European Journal of Nuclear Medicine and Molecular Imaging. 2009;36:S86-92.
- Hofmann M, Pichler B, SchSlkopf B, Beyer T. Towards quantitative PET/MRI: A review of MR-based attenuation correction techniques. European Journal of Nuclear Medicine and Molecular Imaging. 2009; 36:S93-104.
- Sharma A, Singh J. Image denoising using spatial domain filters: A quantitative study. IEEE 6th International Congress on Image and Signal Processing. 2013;1:293-8.
- Seo KH, Kim SH, Kang SH, Park JW, Lee CL, Lee YJ. The effects of total variation (TV) technique for noise reduction in Radio-Magnetic X-ray image: Quantitative Study. Journal of Magnetics. 2016; 21(4):593-8. https://doi.org/10.4283/JMAG.2016.21.4.593
- Lee MS, Kang MG. 3D Non-local Means(NLM) algorithm based on stochastic distance for low-dose X-ray fluoroscopy denoising. Journal of The Institute of Electronics and Information Engineers. 2017;54(4):61-7. https://doi.org/10.5573/ieie.2017.54.4.61
- Goldstein JS, Reed IS, Scharf LL. A multistage representation of the wiener filter based on orthogonal projections. IEEE Transactions on Information Theory. 1998;44(7):2943-59. https://doi.org/10.1109/18.737524
- Borsdorf A, Raupach R, Flohr T, Hornegger J. Wavelet based noise reduction in CT-images using correlation analysis. IEEE Transactions on Medical Imaging. 2008;27(12):1685-703. https://doi.org/10.1109/TMI.2008.923983
- Kalender WA, Klotz E, Kostaridou L. An algorithm for noise suppression in dual energy CT material density images. IEEE Transactions on Medical Imaging. 1988;7(3):218-24. https://doi.org/10.1109/42.7785
- Ju SU, An BH, Kang SH, Lee Y. Median Modified Wiener Filter for Noise Reduction in Computed Tomographic Image using Simulated Male Adult Human Phantom. Journal of the Korean Society of Radiology. 2021;15(1):21-8. https://doi.org/10.7742/JKSR.2021.15.1.21
- Park CR, Kang SH, Lee Y. Optimization of mask size with median modified Wiener filter algorithm for gamma images using pixelated semiconductor detecor: Monte Carlo simulation study. Nuclear Instruments and Methods in Physics Research A. 2020;980:1-6.
- Lee YK, Ahn SM. Usefulness of brain phantom made by fused filament fabrication type 3D printer. Journal of Radiological Science and Technology. 2020:43(6);453-60. https://doi.org/10.17946/JRST.2020.43.6.453
- Jeong EH, Oh JY, Lee JY, Park HH. Deep learing application of gamma camera quality control in nuclear medicin. Journal of Radiological Science and Technology. 2020:43(6):461-7. https://doi.org/10.17946/JRST.2020.43.6.461