Effects of a deep learning-based image quality enhancement method on a digital-BGO PET/CT system for 18F-FDG whole-body examination

The combination of BSREM and PDL significantly enhanced the SUV<sub>max</sub> of lesions and image quality compared with OSEM + PSF. A combination of BSREM at β values of 500-600 and MPDL is recommended for oncological whole-body PET/CT imaging when using PDL on the Omni Legend.

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Publication Details

Journal
EJNMMI Physics
Published
2025-03-28
DOI
https://doi.org/10.1186/s40658-025-00742-7
Citations
3
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
4.08
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article

Effects of a deep learning-based image quality enhancement method on a digital-BGO PET/CT system for 18F-FDG whole-body examination

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3 citations
EJNMMI Physics
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Effects of a deep learning-based image quality enhancement method on a digital-BGO PET/CT system for 18F-FDG whole-body examination

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article en
3 citations

Abstract

The combination of BSREM and PDL significantly enhanced the SUV<sub>max</sub> of lesions and image quality compared with OSEM + PSF. A combination of BSREM at β values of 500-600 and MPDL is recommended for oncological whole-body PET/CT imaging when using PDL on the Omni Legend.

EJNMMI PhysicsVol. 12(1)
Fukushima Medical University (JP), Aizawa Hospital (JP), Kitasato University (JP)
Openalex Percentile: Top 7%
Medical Imaging Techniques and Applications
4.08
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