Synthetic PET via Domain Translation of 3-D MRI

Author:

Rajagopal Abhejit1ORCID,Natsuaki Yutaka2,Wangerin Kristen3ORCID,Hamdi Mahdjoub4ORCID,An Hongyu4ORCID,Sunderland John J.5,Laforest Richard4,Kinahan Paul E.6ORCID,Larson Peder E. Z.1ORCID,Hope Thomas A.1ORCID

Affiliation:

1. Department of Radiology and Biomedical Imaging, University of California at San Francisco, San Francisco, CA, USA

2. Department of Radiation Oncology, University of New Mexico, Albuquerque, NM, USA

3. G.E. Healthcare, Waukesha, WI, USA

4. Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA

5. Department of Radiology, The University of Iowa, Iowa City, IA, USA

6. Department of Radiology, University of Washington, Seattle, WA, USA

Funder

NIH/NIBIB

NIH/NCI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics

Reference47 articles.

1. Bayesian deep learning uncertainty estimation and pseudo-CT prior for robust maximum likelihood estimation of activity and attenuation (UpCT-MLAA) in the presence of metal implants for simultaneous PET/MRI in the pelvis;leynes;arXiv 2001 03414,2020

2. Evaluation of attenuation correction in PET/MRI with synthetic lesion insertion

3. Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images

4. Variation in urinary excretion of FDG, yet another uncertainty in quantitative PET

5. Bone material analogues for PET/MRI phantoms

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