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Comparison of deep learning and particle smoother EM methods for estimation of Rb-82 myocardial perfusion PET kinetic parameters.

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Title: Comparison of deep learning and particle smoother EM methods for estimation of Rb-82 myocardial perfusion PET kinetic parameters.
Authors: Chin M; Department of Electrical Engineering, Stanford University, Stanford, California, USA.; Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, California, USA., Zou SJ; Department of Electrical Engineering, Stanford University, Stanford, California, USA.; Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, California, USA., Chinn G; Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, California, USA., Levin CS; Department of Electrical Engineering, Stanford University, Stanford, California, USA.; Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, California, USA.; Departments of Bioengineering and Physics, Stanford University, Stanford, California, USA.
Source: Medical physics [Med Phys] 2026 Jun; Vol. 53 (6), pp. e70512.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Chin+M%22">Chin M</searchLink>; Department of Electrical Engineering, Stanford University, Stanford, California, USA.; Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, California, USA.<br /><searchLink fieldCode="AU" term="%22Zou+SJ%22">Zou SJ</searchLink>; Department of Electrical Engineering, Stanford University, Stanford, California, USA.; Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, California, USA.<br /><searchLink fieldCode="AU" term="%22Chinn+G%22">Chinn G</searchLink>; Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, California, USA.<br /><searchLink fieldCode="AU" term="%22Levin+CS%22">Levin CS</searchLink>; Department of Electrical Engineering, Stanford University, Stanford, California, USA.; Department of Radiology and Molecular Imaging Program at Stanford (MIPS), Stanford University, Stanford, California, USA.; Departments of Bioengineering and Physics, Stanford University, Stanford, California, USA.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22John+Wiley+and+Sons%2C+Inc%22">John Wiley and Sons, Inc </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0425746 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>2473-4209 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200942405%22">00942405 </searchLink><i>NLM ISO Abbreviation: </i>Med Phys <i>Subsets: </i>MEDLINE
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        Value: 10.1002/mp.70512
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      – Code: eng
        Text: English
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        StartPage: e70512
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      – TitleFull: Comparison of deep learning and particle smoother EM methods for estimation of Rb-82 myocardial perfusion PET kinetic parameters.
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            NameFull: Chin M
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            NameFull: Zou SJ
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            NameFull: Chinn G
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              M: 06
              Text: 2026 Jun
              Type: published
              Y: 2026
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