Zero-TE vs 2-point Dixon MRI-based Attenuation Correction for Chest FDG PET/MRI with Deep Learning: Comparison of Quantitative Values on Pseudo CT and Reconstructed PET data
Zero-TE vs 2-point Dixon MRI-based Attenuation Correction for Chest FDG PET/MRI with Deep Learning: Comparison of Quantitative Values on Pseudo CT and Reconstructed PET data
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通过深度学习进行胸部 FDG PET/MRI 的零 TE 与基于 2 点 Dixon MRI 的衰减校正:伪 CT 和重建 PET 数据的定量值比较
DOI:
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发表时间:
2021
期刊:
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通讯作者:
Kazuhiro Kubo1) and Takamichi Murakami1)
中科院分区:
文献类型:
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作者:
Munenobu Nogami;M.D.;Ph.D.;FANMB1);Hidetoshi Matsuo1);Mizuho Nishio1);Miho Tachibana1);Junko Inukai1);Feibi Zeng1);Takako Kurimoto2);Kazuhiro Kubo1) and Takamichi Murakami1)