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Evaluation of deep learning-based reconstruction models on non-TOF BGO PET/CT: impact of acquisition times and BSREM penalization factors on lesion detectability and SNR.

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Title: Evaluation of deep learning-based reconstruction models on non-TOF BGO PET/CT: impact of acquisition times and BSREM penalization factors on lesion detectability and SNR.
Authors: Stenvall, Anna1 (AUTHOR), Minarik, David1,2 (AUTHOR), Trägårdh, Elin2,3 (AUTHOR), Kvernby, Sofia1,2 (AUTHOR) Sofia.kvernby@med.lu.se
Source: EJNMMI Physics. 7/12/2026, Vol. 13 Issue 1, p1-15. 15p.
Database: Academic Search Ultimate
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  Data: Evaluation of deep learning-based reconstruction models on non-TOF BGO PET/CT: impact of acquisition times and BSREM penalization factors on lesion detectability and SNR.
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  Data: <searchLink fieldCode="JN" term="%22EJNMMI+Physics%22">EJNMMI Physics</searchLink>. 7/12/2026, Vol. 13 Issue 1, p1-15. 15p.
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        Value: 10.1186/s40658-026-00919-8
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        Text: English
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      – TitleFull: Evaluation of deep learning-based reconstruction models on non-TOF BGO PET/CT: impact of acquisition times and BSREM penalization factors on lesion detectability and SNR.
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              Text: 7/12/2026
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