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relaxed list mode ordered subset expectation maximisation (lmosem) algorithm  (Philips Healthcare)

 
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    Philips Healthcare relaxed list mode ordered subset expectation maximisation (lmosem) algorithm
    Relaxed List Mode Ordered Subset Expectation Maximisation (Lmosem) Algorithm, supplied by Philips Healthcare, 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/relaxed+list+mode+ordered+subset+expectation+maximisation++lmosem++algorithm/pmc08316557-146-10-23
    Average 90 stars, based on 1 article reviews
    relaxed list mode ordered subset expectation maximisation (lmosem) algorithm - by Bioz Stars, 2026-10
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    Related Articles

    other:

    Article Title: Yttrium-90 quantitative phantom study using digital photon counting PET
    Article Snippet: All image reconstructions were performed with ToF information and using relaxed List Mode Ordered Subset Expectation Maximisation (LMOSEM) algorithm [ ] implemented on Philips PET systems, with isotropic voxels of 2 ×2 ×2 mm 3 .

    Positron Emission Tomography:

    Article Title: 2- 18 F-fluoro-2-deoxyglucose positron emission tomography in delirium
    Article Snippet: .. The PET images were reconstructed using Philips Astonish TF (list mode fully 3D iterative ordered subset expectation maximisation (OSEM) algorithm and point spread function (PSF). ..



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    Image Search Results


    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