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blob-based ordered-subset expectation maximisation algorithm  (Philips Healthcare)

 
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    Philips Healthcare blob-based ordered-subset expectation maximisation algorithm
    Blob Based Ordered Subset Expectation Maximisation 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/blob+based+ordered+subset+expectation+maximisation+algorithm/pmc06647179-66-7-13
    Average 90 stars, based on 1 article reviews
    blob-based ordered-subset expectation maximisation algorithm - by Bioz Stars, 2026-10
    90/100 stars

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    other:

    Article Title: Early lesion detection with 18 F-DCFPyL PET/CT in 248 patients with biochemically recurrent prostate cancer
    Article Snippet: Images were reconstructed with the vendor-provided BLOB-based ordered-subset expectation maximisation algorithm on the Philips system (3 iterations; 33 subsets) [ ] and the ordered-subset expectation maximisation algorithm on the Siemens system (4 iterations; 16 subsets, including a 5-mm Gaussian filter).



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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