Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data.
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| Title: | Deep generative denoising networks enhance quality and accuracy of gated cardiac PET data. |
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| Authors: | Jafaritadi M; Department of Radiology, Stanford University, Stanford, CA, USA., Teuho J; Turku PET Center, University of Turku, Turku, Finland.; Turku PET Center, Turku University Hospital, Turku, Finland., Lehtonen E; Turku PET Center, University of Turku, Turku, Finland., Klén R; Turku PET Center, University of Turku, Turku, Finland.; Turku PET Center, Turku University Hospital, Turku, Finland., Saraste A; Turku PET Center, University of Turku, Turku, Finland.; Turku PET Center, Turku University Hospital, Turku, Finland.; Heart Center, Turku University Hospital, Turku, Finland., Levin CS; Department of Radiology, Stanford University, Stanford, CA, USA. cslevin@stanford.edu.; Department of Physics, Stanford University, Stanford, CA, USA. cslevin@stanford.edu.; Department of Electrical Engineering, Stanford University, Stanford, CA, USA. cslevin@stanford.edu.; Department of Bioengineering, Stanford University, Stanford, CA, USA. cslevin@stanford.edu. |
| Source: | Annals of nuclear medicine [Ann Nucl Med] 2024 Oct; Vol. 38 (10), pp. 775-788. Date of Electronic Publication: 2024 Jun 06. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer Japan Country of Publication: Japan NLM ID: 8913398 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1864-6433 (Electronic) Linking ISSN: 09147187 NLM ISO Abbreviation: Ann Nucl Med Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1864-6433 |
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| DOI: | 10.1007/s12149-024-01945-1 |
