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3d mri head phantom  (MathWorks Inc)


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    Structured Review

    MathWorks Inc 3d mri head phantom
    An example of 26-pixel neighborhood <t>\documentclass[12pt]{minimal}</t> \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {N}_k$$\end{document} N k ( red cubes ) for a selected location ( blue cube ) in a 3D stack of acquired images
    3d Mri Head Phantom, supplied by MathWorks Inc, 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/result/3d mri head phantom/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    3d mri head phantom - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "A 3D MRI denoising algorithm based on Bayesian theory"

    Article Title: A 3D MRI denoising algorithm based on Bayesian theory

    Journal: BioMedical Engineering OnLine

    doi: 10.1186/s12938-017-0319-x

    An example of 26-pixel neighborhood \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {N}_k$$\end{document} N k ( red cubes ) for a selected location ( blue cube ) in a 3D stack of acquired images
    Figure Legend Snippet: An example of 26-pixel neighborhood \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {N}_k$$\end{document} N k ( red cubes ) for a selected location ( blue cube ) in a 3D stack of acquired images

    Techniques Used:

    The processing chain of the proposed methodology. For each slice s , the 3D neighborhood is extracted by analyzing the upper ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s+1$$\end{document} s + 1 ) and lower ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s-1$$\end{document} s - 1 ) slices. The hyperparameters \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\theta$$\end{document} θ are evaluated and the estimation is performed. The procedure is iterated until convergence and repeated for all slices composing the 3D stack
    Figure Legend Snippet: The processing chain of the proposed methodology. For each slice s , the 3D neighborhood is extracted by analyzing the upper ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s+1$$\end{document} s + 1 ) and lower ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s-1$$\end{document} s - 1 ) slices. The hyperparameters \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\theta$$\end{document} θ are evaluated and the estimation is performed. The procedure is iterated until convergence and repeated for all slices composing the 3D stack

    Techniques Used:

    Specifications of filters used for comparison
    Figure Legend Snippet: Specifications of filters used for comparison

    Techniques Used: Diffusion-based Assay

    3 T real dataset: imaging protocol details
    Figure Legend Snippet: 3 T real dataset: imaging protocol details

    Techniques Used: Imaging, Sequencing

    1.5 T real axial dataset: imaging protocol details
    Figure Legend Snippet: 1.5 T real axial dataset: imaging protocol details

    Techniques Used: Imaging, Sequencing

    1.5 T real sagittal dataset: imaging protocol details
    Figure Legend Snippet: 1.5 T real sagittal dataset: imaging protocol details

    Techniques Used: Imaging, Sequencing



    Similar Products

    3d mri head phantom  (MathWorks Inc)
    90
    MathWorks Inc 3d mri head phantom
    An example of 26-pixel neighborhood <t>\documentclass[12pt]{minimal}</t> \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {N}_k$$\end{document} N k ( red cubes ) for a selected location ( blue cube ) in a 3D stack of acquired images
    3d Mri Head Phantom, supplied by MathWorks Inc, 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/result/3d mri head phantom/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    3d mri head phantom - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    An example of 26-pixel neighborhood \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {N}_k$$\end{document} N k ( red cubes ) for a selected location ( blue cube ) in a 3D stack of acquired images

    Journal: BioMedical Engineering OnLine

    Article Title: A 3D MRI denoising algorithm based on Bayesian theory

    doi: 10.1186/s12938-017-0319-x

    Figure Lengend Snippet: An example of 26-pixel neighborhood \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\mathcal {N}_k$$\end{document} N k ( red cubes ) for a selected location ( blue cube ) in a 3D stack of acquired images

    Article Snippet: The simulated case study exploits Matlab ® 3D MRI head phantom, which is composed of 27 slices of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$128 \times 128$$\end{document} 128 × 128 voxels.

    Techniques:

    The processing chain of the proposed methodology. For each slice s , the 3D neighborhood is extracted by analyzing the upper ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s+1$$\end{document} s + 1 ) and lower ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s-1$$\end{document} s - 1 ) slices. The hyperparameters \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\theta$$\end{document} θ are evaluated and the estimation is performed. The procedure is iterated until convergence and repeated for all slices composing the 3D stack

    Journal: BioMedical Engineering OnLine

    Article Title: A 3D MRI denoising algorithm based on Bayesian theory

    doi: 10.1186/s12938-017-0319-x

    Figure Lengend Snippet: The processing chain of the proposed methodology. For each slice s , the 3D neighborhood is extracted by analyzing the upper ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s+1$$\end{document} s + 1 ) and lower ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$s-1$$\end{document} s - 1 ) slices. The hyperparameters \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\theta$$\end{document} θ are evaluated and the estimation is performed. The procedure is iterated until convergence and repeated for all slices composing the 3D stack

    Article Snippet: The simulated case study exploits Matlab ® 3D MRI head phantom, which is composed of 27 slices of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$128 \times 128$$\end{document} 128 × 128 voxels.

    Techniques:

    Specifications of filters used for comparison

    Journal: BioMedical Engineering OnLine

    Article Title: A 3D MRI denoising algorithm based on Bayesian theory

    doi: 10.1186/s12938-017-0319-x

    Figure Lengend Snippet: Specifications of filters used for comparison

    Article Snippet: The simulated case study exploits Matlab ® 3D MRI head phantom, which is composed of 27 slices of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$128 \times 128$$\end{document} 128 × 128 voxels.

    Techniques: Diffusion-based Assay

    3 T real dataset: imaging protocol details

    Journal: BioMedical Engineering OnLine

    Article Title: A 3D MRI denoising algorithm based on Bayesian theory

    doi: 10.1186/s12938-017-0319-x

    Figure Lengend Snippet: 3 T real dataset: imaging protocol details

    Article Snippet: The simulated case study exploits Matlab ® 3D MRI head phantom, which is composed of 27 slices of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$128 \times 128$$\end{document} 128 × 128 voxels.

    Techniques: Imaging, Sequencing

    1.5 T real axial dataset: imaging protocol details

    Journal: BioMedical Engineering OnLine

    Article Title: A 3D MRI denoising algorithm based on Bayesian theory

    doi: 10.1186/s12938-017-0319-x

    Figure Lengend Snippet: 1.5 T real axial dataset: imaging protocol details

    Article Snippet: The simulated case study exploits Matlab ® 3D MRI head phantom, which is composed of 27 slices of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$128 \times 128$$\end{document} 128 × 128 voxels.

    Techniques: Imaging, Sequencing

    1.5 T real sagittal dataset: imaging protocol details

    Journal: BioMedical Engineering OnLine

    Article Title: A 3D MRI denoising algorithm based on Bayesian theory

    doi: 10.1186/s12938-017-0319-x

    Figure Lengend Snippet: 1.5 T real sagittal dataset: imaging protocol details

    Article Snippet: The simulated case study exploits Matlab ® 3D MRI head phantom, which is composed of 27 slices of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$128 \times 128$$\end{document} 128 × 128 voxels.

    Techniques: Imaging, Sequencing