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Journal of Nuclear Medicine

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Research ArticlePhysics and Instrumentation

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 2019, 60 (8) 1183-1189; DOI: https://doi.org/10.2967/jnumed.118.219493
Donghwi Hwang
1Department of Biomedical Sciences, Seoul National University, Seoul, Korea
2Department of Nuclear Medicine, Seoul National University, Seoul, Korea
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Seung Kwan Kang
1Department of Biomedical Sciences, Seoul National University, Seoul, Korea
2Department of Nuclear Medicine, Seoul National University, Seoul, Korea
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Kyeong Yun Kim
1Department of Biomedical Sciences, Seoul National University, Seoul, Korea
2Department of Nuclear Medicine, Seoul National University, Seoul, Korea
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Seongho Seo
3Department of Neuroscience, College of Medicine, Gachon University, Incheon, Korea
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Jin Chul Paeng
2Department of Nuclear Medicine, Seoul National University, Seoul, Korea
4Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea; and
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Dong Soo Lee
2Department of Nuclear Medicine, Seoul National University, Seoul, Korea
4Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea; and
5Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Suwon, Korea
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Jae Sung Lee
1Department of Biomedical Sciences, Seoul National University, Seoul, Korea
2Department of Nuclear Medicine, Seoul National University, Seoul, Korea
4Institute of Radiation Medicine, Medical Research Center, Seoul National University, Seoul, Korea; and
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Journal of Nuclear Medicine: 60 (8)
Journal of Nuclear Medicine
Vol. 60, Issue 8
August 1, 2019
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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, Jae Sung Lee
Journal of Nuclear Medicine Aug 2019, 60 (8) 1183-1189; DOI: 10.2967/jnumed.118.219493

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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, Jae Sung Lee
Journal of Nuclear Medicine Aug 2019, 60 (8) 1183-1189; DOI: 10.2967/jnumed.118.219493
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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
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  • Ultra-Fast List-Mode Reconstruction of Short PET Frames and Example Applications
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Keywords

  • PET/MRI
  • attenuation correction
  • deep learning
  • simultaneous reconstruction
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