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NTIS 바로가기Nuclear engineering and technology : an international journal of the Korean Nuclear Society, v.54 no.9, 2022년, pp.3403 - 3414
Do, Yongho (Department of Nuclear Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center) , Cho, Youngkwon (Department of Radiological Science, Cheongju University) , Kang, Seong-Hyeon (Department of Health Science, General Graduate School of Gachon University) , Lee, Youngjin (Department of Radiological Science, College of Health Science, Gachon University,)
The purpose of this study is to model and optimize the block-matching and 3D filtering (BM3D) algorithm and to evaluate its applicability in brain single-photon emission computed tomography (SPECT) images using a fan beam collimator. For quantitative evaluation of the noise level, the coefficient of...
C.R. Park, S.H. Kang, Y. Lee, Median modified wiener filter for improving the image quality of gamma camera images, Nucl. Eng. Technol. 52 (2020) 2328-2333.
S.L. Pimlott, A. Sutherland, Molecular tracers for the PET and SPECT imaging of disease, Chem. Soc. Rev. 40 (2011) 149-162.
A. Santra, R. Kumar, Brain perfusion single photon emission computed tomography in major psychiatric disorders: from basics to clinical practice, Indian J. Nucl. Med. 29 (2014) 210-221.
V. Valotassiou, J. Malamitsi, J. Papatriantafyllou, E. Dardiotis, I. Tsougos, D. Psimadas, S. Alexiou, G. Hadjigeorgiou, P. Georgoulias, SPECT and PET imaging in Alzheimer's disease, Ann. Nucl. Med. 32 (2018) 583-593.
T.A. Henderson, M.J. Lierop, M. McLean, J.M. Uszler, J.F. Thornton, Y.H. Siow, D.G. Pavel, J. Cardaci, P. Cohen, Functional neuroimaging in psychiatrydaiding in diagnosis and guiding treatment. What the American Psychiatric Association does not know, Front. Psychiatr. 15 (2020), https://doi.org/10.3389/fpsyt.2020.00276.
S.C. Moore, K. Kouris, I. Cullum, Collimator design for single photon emission tomography, Eur. J. Nucl. Med. 19 (1992) 138-150.
M.B. Tomas, P.V. Pugliese, G.G. Tronco, C. Love, C.J. Palestro, K.J. Nichols, Pinhole versus parallel-hole collimators for parathyroid imaging: an intraindividual comparison, J. Nucl. Med. Technol. 36 (2008) 189-194.
S. Kimiaei, S.A. Larsson, H. Jacobsson, Collimator design for improved spatial resolution in SPECT and planar scintigraphy, J. Nucl. Med. 37 (1996) 1417-1421.
Y. Lee, H.J. Kim, Performance evaluation of a small CZT pixelated semiconductor gamma camera system with a newly designed stack-up parallelhole collimator, Nucl. Instrum. Methods Phys. Res. 794 (2015) 54-61.
Y. Lee, H.J. Ryu, S.W. Lee, S.J. Park, H.J. Kim, Comparison of ultra-highresolution parallel-hole collimator materials based on the CdTe pixelated semiconductor SPECT system, Nucl. Instrum. Methods Phys. Res. 713 (2013) 33-39.
B.M.W. Tsui, G.T. Gullberg, E.R. Edgerton, D.R. Gilland, J.R. Perry, W.H. Mccartney, Design and clinical utility of a fan beam collimator for SPECT imaging of the head, J. Nucl. Med. 27 (1986) 810-819.
K.V. Audenhaege, R.V. Holen, S. Vandenberghe, C. Vanhove, S.D. Metzler, S.C. Moore, Review of SPECT collimator selection, optimization, and fabrication for clinical and preclinical imaging, Med. Phys. 42 (2015) 4796-4813.
K. Morita, A. Maebatake, R. Iwasaki, Y. Shiotsuki, K. Himuro, S. Baba, M. Sasaki, Evaluation of the reconstruction parameters of brain dopamine transporter SPECT images obtained by a fan beam collimator: a comparison with parallelhole Collimators, Asia-Oceania J. Nucl. Med. Biol. 6 (2018) 120-128.
C.B. Lim, L.T. Chang, R.J. Jaszczak, Performance analysis of three camera configurations for single photon emission computed tomography, IEEE Trans. Nucl. Sci. 27 (2018) 559-568.
S. Ozaki, A. Haga, E. Chao, C. Maurer, K. Nawa, T. Ohta, T. Nakamoto, Y. Nozawa, T. Magome, M. Nakano, K. Nakagawa, Fast statistical iterative reconstruction for mega-voltage computed tomography, J. Med. Invest. 67 (2020) 30-39.
C.R. Park, S.H. Kang, Y. Lee, Median modified wiener filter for improving the image quality of gamma camera images, Nucl. Eng. Technol. 52 (2020) 2328-2333.
Y. Lee, Performance evaluation of noise reduction algorithm with median filter using improved thresholding method in pixelated semiconductor gamma camera system: a numerical simulation study, Nucl. Eng. Technol. 51 (2019) 439-443.
M.Y. Jang, C.R. Park, S.H. Kang, Y. Lee, Experimental study of the fast non-local means noise reduction algorithm using the Hoffman 3D brain phantom in nuclear medicine SPECT image, Optik 224 (2020), 165440.
K. Dabov, A. Foi, V. Katkovnik, K. Egiazarian, Image denoising by sparse 3-D transform-domain collaborative filtering, IEEE Trans. Image Process. 16 (2007) 2080-2095.
M. Lebrun, An analysis and implementation of the BM3D image denoising method, Image Process. Line 2 (2012) 175-213.
T. Zhao, J. Hoffman, M. McNitt-Gray, D. Ruan, Ultra-low-dose CT image denoising using modified BM3D scheme tailored to data statistics, Med. Phys. 23 (2018), https://doi.org/10.1002/mp.13252.
V. Hanchate, K. Jochi, MRI denoising using BM3D equipped with noise invalidation denoising technique and VST for improved contrast, SN Appl. Sci. 2 (2020) 234.
B. Song, Z. Duan, Y. Gao, T. Shao, Adaptive BM3D algorithm for image denoising using coefficient of variation, 22th Int. Conf. Info. Fusion (FUSION) (2019) 1-8.
A. Mittal, A.K. Moorthy, A.C. Bovik, No-reference image quality assessment in the spatial domain, IEEE Trans. Image Process. 21 (2012) 4695-4708.
S. Lee, Y. Lee, Performance evaluation of median-modified Wiener filter algorithm in high-resolution complementary metaleoxideesemiconductor radio-magnetic X-ray imaging system: an experimental study, Nucl. Instrum. Methods Phys. Res. 1010 (2021), 165509.
J. Park, C.K. Kang, Y. Lee, Quantitative evaluation of the image quality using the fast nonlocal means denoising approach in diffusion-weighted magnetic resonance imaging with high b-value, J. Kor. Phys. Soc. 78 (2021) 244-250.
M.M. Alqahtani, K.P. Willowson, C. Constable, R. Fulton, P.L. Kench, Optimization of 99mTc whole-body SPECT/CT image quality: a phantom study, J. Appl. Clin. Med. Phys. (2022), https://doi.org/10.1002/acm2.13528.
Y. Lee, Improved quality using newly designed algorithms in gamma- and Xray fusion images with a photon counting CZT detector: combining the median modified Wiener filter and edge detection method, Optik 245 (2021), 167681.
O.L. Kapucu, F. Nobili, A. Varrone, J. Booij, T.V. Borght, K. Nagren, J. Darcourt, K. Tatsch, K.J. Van Laere, EANM procedure guideline for brain perfusion SPECT using 99mTc-labelled radiopharmaceuticals, version 2, Eur. J. Nucl. Med. Mol. Imag. (2009), https://doi.org/10.1007/s00259-009-1266-y.
H.S. Jeong, Y.A. Chung, J.S. Park, I.U. Song, Y. Yang, asLong- term efficacy of memantine in Parkinson's disease dementia: an 18-month prospective perfusion single photon emission computed tomography preliminary study, Dement. Neurocognitive Disord. 15 (2016) 43-48.
J.J. van der Zande, M. Joling, I.G. Happach, C. Vriend, Ph Scheltens, J. Booij, A.W. Lemstra, Serotonergic deficits in dementia with Lewy bodies with concomitant Alzheimer's disease pathology: an 123I-FP-CIT SPECT study, Neuroimage: Clinic 25 (2020), 102062.
A. Sala, S.P. Caminiti, L. Presotto, A. Pilotto, C. Liguori, A. Chiaravalloti, V. Garibotto, G.B. Frisoni, M. D'Amelio, B. Paghera, O. Schillaci, N. Mercuri, A. Padovani, D. Perani, In vivo human molecular neuroimaging of dopaminergic vulnerability along the Alzheimer's disease phases, Alzheimer's Res. Ther. 13 (2021), https://doi.org/10.1186/s13195-021-00925-1.
M. Decuyper, J. Maebe, R.V. Holen, S. Vandenberghe, Artificial intelligence with deep learning in nuclear medicine and radiology, EJNMMI Phys. 8 (2021), https://doi.org/10.1186/s40658-021-00426-y.
K. Kim, Y. Lee, Improvement of signal and noise performance using single image super-resolution based on deep learning in single photon-emission computed tomography imaging system, Nucl. Eng. Technol. 53 (2021) 2341-2347.
L.H. Hu, J. Betancur, T. Sharir, A.J. Einstein, S. Bokhari, M.B. Fish, T.D. Ruddy, P.A. Kaufmann, A.J. Sinusas, E.J. Miller, T.M. Bateman, S. Dorbala, M.D. Carli, G. Germano, F. Commandeur, J.X. Liang, Y. Otaki, B.K. Tamarappoo, D. Dey, D.S. Berman, P.J. Slomka, Machine learning predicts per-vessel early coronary revascularization after fast myocardial perfusion SPECT: results from multicentre REFINE SPECT registry, Eur. Heart J. Cardiovasc. Imag. 21 (2020) 549-559.
J. Tsuchiya, K. Yokoyama, K. Yamagiwa, R. Watanabe, K. Kimura, M. Kishino, C. Chan, E. Asma, U. Tateishi, Deep learning-based image quality improvement of 18F-fluorodeoxyglucose positron emission tomography: a retrospective observational study, EJNMMI Phys. 8 (2021), https://doi.org/10.1186/s40658-021-00377-4.
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