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ordered-subset expectation maximisation algorithm  (Siemens AG)

 
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    Siemens AG ordered-subset expectation maximisation algorithm
    Ordered Subset Expectation Maximisation 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/ordered-subset+expectation+maximisation+algorithm/ordered+subset+expectation+maximization+algorithm/pmc06647179-66-23-29
    Average 90 stars, based on 1 article reviews
    ordered-subset expectation maximisation algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Quantitative accuracy of MAP reconstruction for dynamic PET imaging in small animals
    Article Snippet: Methods: The authors present an evaluation of the quantitative accuracy of the 3D maximum a posteriori (3D-MAP) image reconstruction algorithm for dynamic PET imaging with comparisons to two of the most widely used reconstruction algorithms: the 2D filtered-backprojection (2D-FBP) and 2D-ordered subsets expectation maximization (2D-OSEM) on the Siemens microPET scanners.

    Article Title: Assessment of treatment responses in children and adolescents with Ewing sarcoma with metabolic tumor parameters derived from 18 F-FDG-PET/CT and circulating tumor DNA.
    Article Snippet: Purpose The purpose of this study was to perform a prospective integrated analysis of F-fluorodeoxyglucose (F-FDG)positron emission tomography (PET)/computed tomography (CT) and circulating tumor DNA (ctDNA) to assess responses to multimodal chemotherapy in children and adolescents suffering from Ewing sarcoma (EwS).. Methods A total of 20 patients with histologically confirmed EwS underwent multiple F-FDG-PET/CT, performed at the time of each patient’s initial diagnosis and after the second and fifth induction chemotherapy block (EWING2008 treatment protocol, NCT00987636).. Additional PETexaminations were performed as clinically indicated in some patients, e.g., in patients suspected of having progressive or relapsing disease.

    Article Title: Pioglitazone does not synergize with mirabegron to increase beige fat or further improve glucose metabolism
    Article Snippet: After decay and scatter correction, PET data were reconstructed using orderedsubsets expectation maximization with 2 iterations and 8 subsets using the algorithm implemented by the manufacturer (esoft, Siemens, Erlangen, Germany).

    Article Title: In Vivo Reactive Oxygen Species Detection With a Novel Positron Emission Tomography Tracer, 18 F-DHMT, Allows for Early Detection of Anthracycline-Induced Cardiotoxicity in Rodents.
    Article Snippet: All PET images were reconstructed using a 3D ordered subset expectation maximization/maximum a posteriori algorithm with 2 ordered subset expectation maximization iterations and 18 maximization/maximum a posteriori iterations on the Siemens Inveon Acquisition Workplace.

    Article Title: Abnormal uptake related to the thyroid gland on somatostatin receptor-targeted PET imaging: reported prevalence and rate of thyroid malignancy and parathyroid adenomas
    Article Snippet: The images were reconstructed using a 3D-ordered subset expectation maximization algorithm with correction for the measured point spread function using the vendor-supplied TrueX algorithm (Siemens).

    Positron Emission Tomography:

    Article Title: Mapping the association between tau-PET and Aβ-amyloid-PET using deep learning
    Article Snippet: .. The Siemens Ordered Subset Expectation Maximization algorithm with Time-of-Flight (12 iterations, 21 subsets, no smoothing, resolution of full width at half maximum = 4.3 mm) was used to reconstruct all PET scans in high-resolution, as this reconstruction method maintains the natural variability in the data without smoothing . ..



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    Contrast-to-noise ratio (CNR) of the investigated collimators with optimized values for each rod size by Gaussian post-filtering (full width half maximum = rod size). Bar charts compare the image quality of the collimators XUHR-M, GP-M and UHS-M for different activity levels in the mini Derenzo phantoms 850.500 and 850.100. In addition, the graphs in ( c ), ( e ) and ( g ) show how the 3DT-Scanner with the same GP-M collimator and a pixel-based ordered-subset expectation <t>maximisation</t> (POSEM) reconstruction algorithm compares to the new 2DT-Scanner and the similarity-regulated ordered-subset expectation maximisation <t>(SROSEM)</t> algorithm. Time per bed position (TPB) was 300 s with at least 9 bed positions (BP), corresponding to a total scan duration of 45 min
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    Contrast-to-noise ratio (CNR) of the investigated collimators with optimized values for each rod size by Gaussian post-filtering (full width half maximum = rod size). Bar charts compare the image quality of the collimators XUHR-M, GP-M and UHS-M for different activity levels in the mini Derenzo phantoms 850.500 and 850.100. In addition, the graphs in ( c ), ( e ) and ( g ) show how the 3DT-Scanner with the same GP-M collimator and a pixel-based ordered-subset expectation maximisation (POSEM) reconstruction algorithm compares to the new 2DT-Scanner and the similarity-regulated ordered-subset expectation maximisation (SROSEM) algorithm. Time per bed position (TPB) was 300 s with at least 9 bed positions (BP), corresponding to a total scan duration of 45 min

    Journal: EJNMMI Physics

    Article Title: Performance evaluation of fifth-generation ultra-high-resolution SPECT system with two stationary detectors and multi-pinhole imaging

    doi: 10.1186/s40658-020-00335-6

    Figure Lengend Snippet: Contrast-to-noise ratio (CNR) of the investigated collimators with optimized values for each rod size by Gaussian post-filtering (full width half maximum = rod size). Bar charts compare the image quality of the collimators XUHR-M, GP-M and UHS-M for different activity levels in the mini Derenzo phantoms 850.500 and 850.100. In addition, the graphs in ( c ), ( e ) and ( g ) show how the 3DT-Scanner with the same GP-M collimator and a pixel-based ordered-subset expectation maximisation (POSEM) reconstruction algorithm compares to the new 2DT-Scanner and the similarity-regulated ordered-subset expectation maximisation (SROSEM) algorithm. Time per bed position (TPB) was 300 s with at least 9 bed positions (BP), corresponding to a total scan duration of 45 min

    Article Snippet: For reconstruction of the created list-mode data, the similarity-regulated ordered-subsets expectation maximisation algorithm (SROSEM), as provided with the dedicated software (MILabs.Rec Version 8.06) of the 2DT-Scanner system, was used [ ].

    Techniques: Activity Assay