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rank‐ r singular value decomposition (optimus) coil combination method  (Optimus Corp)

 
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    Optimus Corp rank‐ r singular value decomposition (optimus) coil combination method
    Rank‐ R Singular Value Decomposition (Optimus) Coil Combination Method, supplied by Optimus Corp, 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/singular+value+decomposition+method/rank+r+singular+value+decomposition++optimus+/pmc12035523-50-20-19
    Average 90 stars, based on 1 article reviews
    rank‐ r singular value decomposition (optimus) coil combination method - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Coil Combination Using OpTIMUS Results in Improved Signal‐to‐Noise Ratios of In Vivo MR Spectra Acquired at 7 T
    Article Snippet: This motivated the development of the optimized truncation to integrate multichannel MRS data using rank‐ R singular value decomposition (OpTIMUS) coil combination method [ ].

    Article Title: Optimized truncation to integrate multi‐channel MRS data using rank‐ R singular value decomposition
    Article Snippet: Op timized t runcation to i ntegrate m ulti‐channel MRS data u sing rank‐ R s ingular value decomposition (OpTIMUS) is an improved strategy for combining MRS data collected from multi‐channel phased receive arrays that uses a rank‐ R decomposition and spectral windowing prior to singular value decomposition (SVD).

    Article Title: Optimized truncation to integrate multi‐channel MRS data using rank‐ R singular value decomposition
    Article Snippet: Here, we present a new SVD‐based combination method that utilizes op timized t runcation to i ntegrate m ulti‐channel MRS data u sing rank‐ R s ingular value decomposition (OpTIMUS).



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    Image Search Results


    The used thresholds for the calculation of the core and penumbra volumes for the different perfusion analysis methods

    Journal: Medical Physics

    Article Title: Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke

    doi: 10.1002/mp.13559

    Figure Lengend Snippet: The used thresholds for the calculation of the core and penumbra volumes for the different perfusion analysis methods

    Article Snippet: A commercial block‐circulant singular value decomposition (bSVD) based method (ISP; Philips Healthcare), a non‐commercial bSVD method, and a non‐linear regression (NLR) model‐based method were evaluated.

    Techniques:

    Mean perfusion parameters with 95% confidence interval for grey matter for bSVD, ISP, and NLR. The values that are significantly different from the 1 s acquisition interval (reference) are filled and marked with an asterisk. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Journal: Medical Physics

    Article Title: Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke

    doi: 10.1002/mp.13559

    Figure Lengend Snippet: Mean perfusion parameters with 95% confidence interval for grey matter for bSVD, ISP, and NLR. The values that are significantly different from the 1 s acquisition interval (reference) are filled and marked with an asterisk. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Article Snippet: A commercial block‐circulant singular value decomposition (bSVD) based method (ISP; Philips Healthcare), a non‐commercial bSVD method, and a non‐linear regression (NLR) model‐based method were evaluated.

    Techniques:

    Mean perfusion parameters with 95% confidence interval for white matter for bSVD, ISP and NLR. The values that are significantly different from the 1 s acquisition interval (reference) are filled and marked with an asterisk. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Journal: Medical Physics

    Article Title: Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke

    doi: 10.1002/mp.13559

    Figure Lengend Snippet: Mean perfusion parameters with 95% confidence interval for white matter for bSVD, ISP and NLR. The values that are significantly different from the 1 s acquisition interval (reference) are filled and marked with an asterisk. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Article Snippet: A commercial block‐circulant singular value decomposition (bSVD) based method (ISP; Philips Healthcare), a non‐commercial bSVD method, and a non‐linear regression (NLR) model‐based method were evaluated.

    Techniques:

    An example of calibrated CBF maps generated using bSVD, ISP, and NLR as a function of acquisition interval. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Journal: Medical Physics

    Article Title: Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke

    doi: 10.1002/mp.13559

    Figure Lengend Snippet: An example of calibrated CBF maps generated using bSVD, ISP, and NLR as a function of acquisition interval. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Article Snippet: A commercial block‐circulant singular value decomposition (bSVD) based method (ISP; Philips Healthcare), a non‐commercial bSVD method, and a non‐linear regression (NLR) model‐based method were evaluated.

    Techniques: Generated

    An example of calibrated CBV maps generated using bSVD, ISP, and NLR as a function of acquisition interval. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Journal: Medical Physics

    Article Title: Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke

    doi: 10.1002/mp.13559

    Figure Lengend Snippet: An example of calibrated CBV maps generated using bSVD, ISP, and NLR as a function of acquisition interval. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Article Snippet: A commercial block‐circulant singular value decomposition (bSVD) based method (ISP; Philips Healthcare), a non‐commercial bSVD method, and a non‐linear regression (NLR) model‐based method were evaluated.

    Techniques: Generated

    An example of calibrated MTT maps generated using bSVD, ISP, and NLR as a function of acquisition interval. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Journal: Medical Physics

    Article Title: Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke

    doi: 10.1002/mp.13559

    Figure Lengend Snippet: An example of calibrated MTT maps generated using bSVD, ISP, and NLR as a function of acquisition interval. [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Article Snippet: A commercial block‐circulant singular value decomposition (bSVD) based method (ISP; Philips Healthcare), a non‐commercial bSVD method, and a non‐linear regression (NLR) model‐based method were evaluated.

    Techniques: Generated

    Summary maps of bSVD, ISP, and NLR as a function of acquisition interval. The infarct core is labeled red, the penumbra labeled green. This is the same patient as shown in Figs. , , . [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Journal: Medical Physics

    Article Title: Effect of prolonged acquisition intervals for CT‐perfusion analysis methods in patients with ischemic stroke

    doi: 10.1002/mp.13559

    Figure Lengend Snippet: Summary maps of bSVD, ISP, and NLR as a function of acquisition interval. The infarct core is labeled red, the penumbra labeled green. This is the same patient as shown in Figs. , , . [Color figure can be viewed at http://wileyonlinelibrary.com ]

    Article Snippet: A commercial block‐circulant singular value decomposition (bSVD) based method (ISP; Philips Healthcare), a non‐commercial bSVD method, and a non‐linear regression (NLR) model‐based method were evaluated.

    Techniques: Labeling