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three-dimensional ordered subset expectation maximization (osem3d) algorithm  (PMOD Technologies)

 
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    Structured Review

    PMOD Technologies three-dimensional ordered subset expectation maximization (osem3d) algorithm
    Three Dimensional Ordered Subset Expectation Maximization (Osem3d) Algorithm, supplied by PMOD Technologies, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/osem3d+algorithm/three+dimensional+ordered+subset+expectation+maximization++osem3d++algorithm/pmc07293619-147-9-20
    Average 90 stars, based on 1 article reviews
    three-dimensional ordered subset expectation maximization (osem3d) algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Ultrasensitive detection of malignant melanoma using PET molecular imaging probes
    Article Snippet: The acquired images were reconstructed with a three-dimensional ordered subset expectation maximization (OSEM3D) algorithm, and image analysis was performed with PMOD software (PMOD Technologies Ltd.).



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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: