attenuation correction

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Feasibility of an Ultra-Low-Dose PET Scan Protocol with CT-Based and LSO-TX–Based Attenuation Correction Using a Long–Axial-Field-of-View PET/CT Scanner
Hasan Sari, Mohammadreza Teimoorisichani, Marco Viscione, Clemens Mingels, Robert Seifert, Kuangyu Shi, Michael Morris, Eliot Siegel, Babak Saboury, Thomas Pyka and Axel Rominger

Journal of Nuclear Medicine April 10, 2025, jnumed.124.268380; DOI: https://doi.org/10.2967/jnumed.124.268380
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Deep Learning–Based Attenuation Correction Improves Diagnostic Accuracy of Cardiac SPECT
Aakash D. Shanbhag, Robert J.H. Miller, Konrad Pieszko, Mark Lemley, Paul Kavanagh, Attila Feher, Edward J. Miller, Albert J. Sinusas, Philipp A. Kaufmann, Donghee Han, Cathleen Huang, Joanna X. Liang, Daniel S. Berman, Damini Dey and Piotr J. Slomka

Journal of Nuclear Medicine March 1, 2023, 64 (3) 472-478; DOI: https://doi.org/10.2967/jnumed.122.264429
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A Path to Qualification of PET/MRI Scanners for Multicenter Brain Imaging Studies: Evaluation of MRI-Based Attenuation Correction Methods Using a Patient Phantom
Ciprian Catana, Richard Laforest, Hongyu An, Fernando Boada, Tuoyu Cao, David Faul, Bjoern Jakoby, Floris P. Jansen, Bradley J. Kemp, Paul E. Kinahan, Peder Larson, Michael A. Levine, Piotr Maniawski, Osama Mawlawi, Jonathan E. McConathy, Alan B. McMillan, Julie C. Price, Abhejit Rajagopal, John Sunderland, Patrick Veit-Haibach, Kristen A. Wangerin, Chunwei Ying and Thomas A. Hope

Journal of Nuclear Medicine April 1, 2022, 63 (4) 615-621; DOI: https://doi.org/10.2967/jnumed.120.261881
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Evaluation of Deep Learning–Based Approaches to Segment Bowel Air Pockets and Generate Pelvic Attenuation Maps from CAIPIRINHA-Accelerated Dixon MR Images
Hasan Sari, Ja Reaungamornrat, Onofrio A. Catalano, Javier Vera-Olmos, David Izquierdo-Garcia, Manuel A. Morales, Angel Torrado-Carvajal, Thomas S.C. Ng, Norberto Malpica, Ali Kamen and Ciprian Catana

Journal of Nuclear Medicine March 1, 2022, 63 (3) 468-475; DOI: https://doi.org/10.2967/jnumed.120.261032
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Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study
Jaewon Yang, Luyao Shi, Rui Wang, Edward J. Miller, Albert J. Sinusas, Chi Liu, Grant T. Gullberg and Youngho Seo

Journal of Nuclear Medicine November 1, 2021, 62 (11) 1645-1652; DOI: https://doi.org/10.2967/jnumed.120.256396
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A Quantitative Evaluation of Joint Activity and Attenuation Reconstruction in TOF PET/MR Brain Imaging
Ahmadreza Rezaei, Georg Schramm, Stefanie M.A. Willekens, Gaspar Delso, Koen Van Laere and Johan Nuyts

Journal of Nuclear Medicine November 1, 2019, 60 (11) 1649-1655; DOI: https://doi.org/10.2967/jnumed.118.220871
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Generation of PET Attenuation Map for Whole-Body Time-of-Flight ¹⁸F-FDG PET/MRI Using a Deep Neural Network Trained with Simultaneously Reconstructed Activity and Attenuation Maps
Donghwi Hwang, Seung Kwan Kang, Kyeong Yun Kim, Seongho Seo, Jin Chul Paeng, Dong Soo Lee and Jae Sung Lee

Journal of Nuclear Medicine August 1, 2019, 60 (8) 1183-1189; DOI: https://doi.org/10.2967/jnumed.118.219493
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Synthesis of Patient-Specific Transmission Data for PET Attenuation Correction for PET/MRI Neuroimaging Using a Convolutional Neural Network
Karl D. Spuhler, John Gardus, Yi Gao, Christine DeLorenzo, Ramin Parsey and Chuan Huang

Journal of Nuclear Medicine April 1, 2019, 60 (4) 555-560; DOI: https://doi.org/10.2967/jnumed.118.214320
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Dixon-VIBE Deep Learning (DIVIDE) Pseudo-CT Synthesis for Pelvis PET/MR Attenuation Correction
Angel Torrado-Carvajal, Javier Vera-Olmos, David Izquierdo-Garcia, Onofrio A. Catalano, Manuel A. Morales, Justin Margolin, Andrea Soricelli, Marco Salvatore, Norberto Malpica and Ciprian Catana

Journal of Nuclear Medicine March 1, 2019, 60 (3) 429-435; DOI: https://doi.org/10.2967/jnumed.118.209288
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The Effect of Including Bone in Dixon-Based Attenuation Correction for ¹⁸F-Fluciclovine PET/MRI of Prostate Cancer
Mattijs Elschot, Kirsten M. Selnæs, Håkon Johansen, Brage Krüger-Stokke, Helena Bertilsson and Tone F. Bathen

Journal of Nuclear Medicine December 1, 2018, 59 (12) 1913-1917; DOI: https://doi.org/10.2967/jnumed.118.208868

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