A deep learning approach for 18F-FDG PET attenuation correction
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Radiation
Link
http://link.springer.com/content/pdf/10.1186/s40658-018-0225-8.pdf
Reference31 articles.
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2. Ladefoged CN, Law I, Anazodo U, Lawrence KS, Izquierdo-Garcia D, Catana C, et al. A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients. NeuroImage. 2016;147:346–59. Available from: http://www.ncbi.nlm.nih.gov/pubmed/27988322%0A , http://linkinghub.elsevier.com/retrieve/pii/S1053811916307170 .
3. Jang H, Liu F, Bradshaw T, AB MM. Rapid dual echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR. Magn Reson Med Off J Soc Magn Reson Med Magn Reson Med. 2017; In press. Available from: http://doi.wiley.com/10.1002/mrm.26953 . Cited 6 Oct 2017.
4. Leynes AP, Yang J, Shanbhag DD, Kaushik SS, Seo Y, Hope TA, et al. Hybrid ZTE/Dixon MR-based attenuation correction for quantitative uptake estimation of pelvic lesions in PET/MRI. Med Phys. 2017;44:902–13.
5. Wiesinger F, Bylund M, Yang J, Kaushik S, Shanbhag D, Ahn S, et al. Zero TE-based pseudo-CT image conversion in the head and its application in PET/MR attenuation correction and MR-guided radiation therapy planning. Magn Reson Med. 2018; Available from: http://doi.wiley.com/10.1002/mrm.27134 . Cited 27 Mar 2018.
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