Deep learning-based attenuation correction for brain PET with various radiotracers

[1] Watanabe M(2002)A new high-resolution PET scanner dedicated to brain research IEEE Trans Nucl Sci 49 634-639

[2] Shimizu K(2017)Performance evaluation of a high-resolution brain PET scanner using four-layer MPPC DOI detectors Phys Med Biol 62 7148-7166

[3] Omura T(2019)First prototyping of a dedicated PET system with the hemisphere detector arrangement Phys Med Biol 64 065004-832

[4] Takahashi M(2016)Attenuation correction in emission tomography using the emission data—a review Med Phys 43 807-2233

[5] Kosugi T(2012)Simultaneous reconstruction of activity and attenuation in time-of-flight PET IEEE Trans Med Imaging 31 2224-1399

[6] Yoshikawa E(2012)Automatic PET-CT image registration method based on mutual information and genetic algorithms Sci World J 2012 567067-96603

[7] Watanabe M(2011)MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation- and atlas-based methods J Nucl Med 52 1392-25

[8] Saito A(2019)Dynamic PET image denoising using deep convolutional neural networks without prior training datasets IEEE Access 7 96594-273

[9] Isobe T(2021)4D deep image prior: dynamic PET image denoising using an unsupervised four-dimensional branch convolutional neural network Phys Med Biol 66 015006-84

[10] Ote K(2021)Deep learning for PET image reconstruction IEEE Trans Radiat Plasma Med Sci 5 1-2548

[1] Watanabe M(2002)A new high-resolution PET scanner dedicated to brain research IEEE Trans Nucl Sci 49 634-639

[2] Shimizu K(2017)Performance evaluation of a high-resolution brain PET scanner using four-layer MPPC DOI detectors Phys Med Biol 62 7148-7166

[3] Omura T(2019)First prototyping of a dedicated PET system with the hemisphere detector arrangement Phys Med Biol 64 065004-832

[4] Takahashi M(2016)Attenuation correction in emission tomography using the emission data—a review Med Phys 43 807-2233

[5] Kosugi T(2012)Simultaneous reconstruction of activity and attenuation in time-of-flight PET IEEE Trans Med Imaging 31 2224-1399

[6] Yoshikawa E(2012)Automatic PET-CT image registration method based on mutual information and genetic algorithms Sci World J 2012 567067-96603

[7] Watanabe M(2011)MRI-based attenuation correction for whole-body PET/MRI: quantitative evaluation of segmentation- and atlas-based methods J Nucl Med 52 1392-25

[8] Saito A(2019)Dynamic PET image denoising using deep convolutional neural networks without prior training datasets IEEE Access 7 96594-273

[9] Isobe T(2021)4D deep image prior: dynamic PET image denoising using an unsupervised four-dimensional branch convolutional neural network Phys Med Biol 66 015006-84

[10] Ote K(2021)Deep learning for PET image reconstruction IEEE Trans Radiat Plasma Med Sci 5 1-2548