6. Programming in the Field of Nuclear Medicine
Author:
Affiliation:
1. Faculty of Radiological Technology, School of Medical Science, Fujita Health University
Publisher
Japanese Society of Radiological Technology
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjrt/77/1/77_2021_JSRT_77.1.51/_pdf
Reference5 articles.
1. 1) Ljungberg M, Strand SE. A Monte Carlo program for the simulation of scintillation camera characteristics. Comput Methods Programs Biomed 1989; 29(4): 257-272.
2. 2) Bahreyni Toossi MT, Islamian JP, Momennezhad M, et al. SIMIND Monte Carlo simulation of a single photon emission CT. J Med Phys 2010; 35(1): 42-47.
3. 4) Shirakawa S, Tadokoro M, Hashimoto H, et al. Attenuation correction of (111) In planar images by use of dual energy, fundamental study by Monte Carlo simulation. Radiol Phys Technol 2015; 8(1): 36-45.
4. 5) Cui J, Gong K, Guo N, et al. PET image denoising using unsupervised deep learning. Eur J Nucl Med Mol Imaging 2019; 46(13): 2780-2789.
5. 6) Hong X, Zan Y, Weng F, et al. Enhancing the image quality via transferred deep residual learning of coarse PET sinograms. IEEE Trans Med Imaging. 2018; 37(10): 2322-2332.
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