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osem3d algorithm  (Siemens AG)

 
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    Siemens AG osem3d algorithm
    Osem3d Algorithm, supplied by Siemens AG, 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/osem3d/pmc08770261-92-3-8
    Average 90 stars, based on 1 article reviews
    osem3d algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Impact of patient size on image quality of OSEM3D and BSREM reconstructions in [ 68 Ga]Ga-DOTA-TATE PET/MR
    Article Snippet: This is the first study demonstrating the relation between patient size and image quality in OSEM3D and BSREM [ 68 Ga]Ga-DOTA-TATE PET/MR reconstructions, and although the results are in line with digital GE and analogue Siemens PET/CT scanners more validation is needed for generalization of current findings.

    Article Title: An electric-field-responsive paramagnetic contrast agent enhances the visualization of epileptic foci in mouse models of drug-resistant epilepsy.
    Article Snippet: 1Key Laboratory of Smart Drug Delivery, Ministry of Education, School of Pharmacy, Fudan University, Shanghai, China.. 2Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.. 3Institute of Functional and Molecular Medical Imaging, Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China.

    Article Title: Impact of patient size on image quality of OSEM3D and BSREM reconstructions in [ 68 Ga]Ga-DOTA-TATE PET/MR.
    Article Snippet: This difference might be caused by differences in patient size and liver biodistribution, differences in weight distribution, digital versus analogue detectors, MR versus CT AC, different OSEM3D TOF + PSF reconstruction algorithms (GE versus Siemens) and parameters (4i28s and voxel size of 2.34 × 2.34 × 2.78 mm versus 3i21s, and voxel size of 4.1 × 4.1 × 4.1 mm) and different post reconstruction filter (7 mm vs 3 mm).

    Article Title: Negative Correlation Between 18 F-RGD Uptake via PET and Tumoral PD-L1 Expression in Non-Small Cell Lung Cancer
    Article Snippet: The PET images were reconstructed and analyzed using the OSEM−3D IAM software program (IS_v1.4.3 SP1; Siemens Preclinical Solutions, LLC).

    Positron Emission Tomography:

    Article Title: Adoptive macrophages reverse the immunosuppressive microenvironment in glioblastoma via programmed phenotypic polarization
    Article Snippet: .. PET images were reconstructed using a three-dimensional ordered subset expectation. maximization (OSEM3D, two iterations) algorithm followed by a maximum a posteriori algorithm (18 iterations; Siemens). .. The co-registered PET/CT data were obtained with Siemens Inveon Research Workplace software.

    Article Title: Development and bioevaluation of 18 F-labeled bivalent cyclic peptides for PET imaging of αvβ6 integrin overexpression.
    Article Snippet: Integrin αvβ6 has emerged as a critical target in cancer diagnostics and therapeutics.. In this study, we developed two bivalent ligands, NOTA-(SDM17)2 and NOTA-(AvB6)2, for positron emission tomography (PET) imaging of αvβ6 integrins.. Surface plasmon resonance (SPR) revealed affinities for NOTA-(SDM17)2 and NOTA-(AvB6)2 with KD values of 2.15 μM and 5.21 μM, respectively.

    Single Photon Emission Computed Tomography:

    Article Title: Drinking and Water Handling in the Medaka Intestine: A Possible Role of Claudin-15 in Paracellular Absorption?
    Article Snippet: .. CT and SPECT images were co-registered using a transformation matrix and SPECT data was reconstructed using the Siemens MAP3D algorithm (matrix 128 × 128, 0.5 mm pixels, 16 iterations, and 6 subsets). .. RNA isolation was conducted according to the manufacturer’s protocol (TRI Reagent ® ; Sigma Aldrich, St. Lois, MO, USA).

    Transformation Assay:

    Article Title: Drinking and Water Handling in the Medaka Intestine: A Possible Role of Claudin-15 in Paracellular Absorption?
    Article Snippet: .. CT and SPECT images were co-registered using a transformation matrix and SPECT data was reconstructed using the Siemens MAP3D algorithm (matrix 128 × 128, 0.5 mm pixels, 16 iterations, and 6 subsets). .. RNA isolation was conducted according to the manufacturer’s protocol (TRI Reagent ® ; Sigma Aldrich, St. Lois, MO, USA).

    Injection:

    Article Title: Automatic Production and Preliminary PET Imaging of a New Imaging Agent [ 18 F]AlF-FAPT
    Article Snippet: .. The three-dimensional ordered subset expected maximum (OSEM3D) algorithm (Siemens, Erlangen, Germany) was used for image reconstruction and conversion into a percentage of injected dose per gram of tissue (% ID/g). .. Data was analyzed by manually drawing the region of interest (ROI) above the tumor, followed by attenuation correction of the coronal image of the main organs on the whole body using the Inevon Research Workplace 4.2 software (Siemens, Erlangen, Germany).



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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

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    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

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    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 [ ].

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    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

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    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 [ ].

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