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SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for <t>OSEM3D</t> (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines
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SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for <t>OSEM3D</t> (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines
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SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for <t>OSEM3D</t> (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines
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SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for <t>OSEM3D</t> (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines
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SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for <t>OSEM3D</t> (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines
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SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for <t>OSEM3D</t> (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines
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SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for <t>OSEM3D</t> (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines
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SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for <t>OSEM3D</t> (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines
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Image Search Results


SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for OSEM3D (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines

Journal: EJNMMI Physics

Article Title: Impact of patient size on image quality of OSEM3D and BSREM reconstructions in [ 68 Ga]Ga-DOTA-TATE PET/MR

doi: 10.1186/s40658-025-00777-w

Figure Lengend Snippet: SNRliver ( A ), SUVmean liver ( B ) and SD liver ( C ) versus body weight (kg) for OSEM3D (grey) and BSREM (black) reconstruction algorithms. The trend lines ( A ) were obtained by simple linear regression. The dashed lines represent the 95% confidence of intervals of the slope of regression lines

Article Snippet: The OSEM3D (VUE Point FX SharpIR) algorithm including TOF, PSF, 4 iterations, 28 subsets and a 7 mm Gaussian filter is optimized for EANM Research Ltd. 2 (EARL2) measurements [ ].

Techniques:

Transversal patient PETMR images and SNRliver, SUVmean liver and SD liver of OSEM3D and BSREM reconstruction algorithms using a dosage regimen with a prolonged acquisition time for heavier patients. OSEM3D images show a comparable image quality between patients whereas image quality increases in heavier patients for BSREM

Journal: EJNMMI Physics

Article Title: Impact of patient size on image quality of OSEM3D and BSREM reconstructions in [ 68 Ga]Ga-DOTA-TATE PET/MR

doi: 10.1186/s40658-025-00777-w

Figure Lengend Snippet: Transversal patient PETMR images and SNRliver, SUVmean liver and SD liver of OSEM3D and BSREM reconstruction algorithms using a dosage regimen with a prolonged acquisition time for heavier patients. OSEM3D images show a comparable image quality between patients whereas image quality increases in heavier patients for BSREM

Article Snippet: The OSEM3D (VUE Point FX SharpIR) algorithm including TOF, PSF, 4 iterations, 28 subsets and a 7 mm Gaussian filter is optimized for EANM Research Ltd. 2 (EARL2) measurements [ ].

Techniques:

Linear fits of SNRliver,norm [(MBq·min) −1/2 ] of the OSEM3D (gray) and BSREM (black) reconstructions versus body weight ( A ), height ( B ), body weight/height ( C ), BMI ( D ), and LBM ( E ). The additional BSREM fixed (blue) fit is presented in fig. A. The dashed lines represent the 95% confidence intervals of the fits

Journal: EJNMMI Physics

Article Title: Impact of patient size on image quality of OSEM3D and BSREM reconstructions in [ 68 Ga]Ga-DOTA-TATE PET/MR

doi: 10.1186/s40658-025-00777-w

Figure Lengend Snippet: Linear fits of SNRliver,norm [(MBq·min) −1/2 ] of the OSEM3D (gray) and BSREM (black) reconstructions versus body weight ( A ), height ( B ), body weight/height ( C ), BMI ( D ), and LBM ( E ). The additional BSREM fixed (blue) fit is presented in fig. A. The dashed lines represent the 95% confidence intervals of the fits

Article Snippet: The OSEM3D (VUE Point FX SharpIR) algorithm including TOF, PSF, 4 iterations, 28 subsets and a 7 mm Gaussian filter is optimized for EANM Research Ltd. 2 (EARL2) measurements [ ].

Techniques: