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Quantitative evaluation of a deep learning-based framework to generate whole-body attenuation maps using LSO background radiation in long axial FOV PET scanners.
Sari H, Teimoorisichani M, Mingels C, Alberts I, Panin V, Bharkhada D, Xue S, Prenosil G, Shi K, Conti M, Rominger A. Sari H, et al. Among authors: conti m. Eur J Nucl Med Mol Imaging. 2022 Nov;49(13):4490-4502. doi: 10.1007/s00259-022-05909-3. Epub 2022 Jul 19. Eur J Nucl Med Mol Imaging. 2022. PMID: 35852557 Free PMC article.
Characterization of 176Lu background in LSO-based PET scanners.
Conti M, Eriksson L, Rothfuss H, Sjoeholm T, Townsend D, Rosenqvist G, Carlier T. Conti M, et al. Phys Med Biol. 2017 May 7;62(9):3700-3711. doi: 10.1088/1361-6560/aa68ca. Epub 2017 Mar 23. Phys Med Biol. 2017. PMID: 28333041
First results on kinetic modelling and parametric imaging of dynamic 18F-FDG datasets from a long axial FOV PET scanner in oncological patients.
Sari H, Mingels C, Alberts I, Hu J, Buesser D, Shah V, Schepers R, Caluori P, Panin V, Conti M, Afshar-Oromieh A, Shi K, Eriksson L, Rominger A, Cumming P. Sari H, et al. Among authors: conti m. Eur J Nucl Med Mol Imaging. 2022 May;49(6):1997-2009. doi: 10.1007/s00259-021-05623-6. Epub 2022 Jan 4. Eur J Nucl Med Mol Imaging. 2022. PMID: 34981164
1,678 results