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patlab software  (MathWorks Inc)


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    Structured Review

    MathWorks Inc patlab software
    Metadata
    Patlab Software, 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/patlab software/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    patlab software - by Bioz Stars, 2026-03
    90/100 stars

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    1) Product Images from "PATLAB: A graphical computational software package for photoacoustic computed tomography research"

    Article Title: PATLAB: A graphical computational software package for photoacoustic computed tomography research

    Journal: Photoacoustics

    doi: 10.1016/j.pacs.2022.100404

    Metadata
    Figure Legend Snippet: Metadata

    Techniques Used: Software



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    90
    MathWorks Inc patlab software
    Metadata
    Patlab Software, 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/patlab software/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    patlab software - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc patlab
    Comparison of <t>five</t> <t>PAT</t> reconstruction algorithms for two datasets obtained with Simulate Time Series Data toolbox provided in <t>PATLAB.</t> (a) Ring array consisting of 512 detectors (dashed red line), Shepp-Logan phantom used as the initial pressure distribution, and two trajectories (yellow arrows) used to plot line profiles in horizontal and vertical directions. (b-e) DAS, UBP, FBP, and TR reconstruction algorithms used to reconstruct time series data simulated from (a), respectively. (f) Linear array consisting of 512 detectors (dashed red line) and Shepp-Logan phantom. (g-k) images reconstructed using the DAS, UBP, FBP, TR, and FT algorithms using time series data simulated from (f), respectively. (l & m) Line profiles extracted from (a-e) in the vertical and horizontal directions, respectively. (n & o) Line profiles extracted from (f-k) in the vertical and horizontal directions, respectively. In (l-o), the vertical axis represents the amplitude (a.u.) and the horizontal axis represents pixel position along each trajectory.
    Patlab, 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/patlab/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    patlab - by Bioz Stars, 2026-03
    90/100 stars
      Buy from Supplier

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    Metadata

    Journal: Photoacoustics

    Article Title: PATLAB: A graphical computational software package for photoacoustic computed tomography research

    doi: 10.1016/j.pacs.2022.100404

    Figure Lengend Snippet: Metadata

    Article Snippet: The resultant PATLAB software was developed within the MATLAB environment, which we believe will motivate others to actively extend the functionality over time.

    Techniques: Software

    Comparison of five PAT reconstruction algorithms for two datasets obtained with Simulate Time Series Data toolbox provided in PATLAB. (a) Ring array consisting of 512 detectors (dashed red line), Shepp-Logan phantom used as the initial pressure distribution, and two trajectories (yellow arrows) used to plot line profiles in horizontal and vertical directions. (b-e) DAS, UBP, FBP, and TR reconstruction algorithms used to reconstruct time series data simulated from (a), respectively. (f) Linear array consisting of 512 detectors (dashed red line) and Shepp-Logan phantom. (g-k) images reconstructed using the DAS, UBP, FBP, TR, and FT algorithms using time series data simulated from (f), respectively. (l & m) Line profiles extracted from (a-e) in the vertical and horizontal directions, respectively. (n & o) Line profiles extracted from (f-k) in the vertical and horizontal directions, respectively. In (l-o), the vertical axis represents the amplitude (a.u.) and the horizontal axis represents pixel position along each trajectory.

    Journal: Photoacoustics

    Article Title: PATLAB: A graphical computational software package for photoacoustic computed tomography research

    doi: 10.1016/j.pacs.2022.100404

    Figure Lengend Snippet: Comparison of five PAT reconstruction algorithms for two datasets obtained with Simulate Time Series Data toolbox provided in PATLAB. (a) Ring array consisting of 512 detectors (dashed red line), Shepp-Logan phantom used as the initial pressure distribution, and two trajectories (yellow arrows) used to plot line profiles in horizontal and vertical directions. (b-e) DAS, UBP, FBP, and TR reconstruction algorithms used to reconstruct time series data simulated from (a), respectively. (f) Linear array consisting of 512 detectors (dashed red line) and Shepp-Logan phantom. (g-k) images reconstructed using the DAS, UBP, FBP, TR, and FT algorithms using time series data simulated from (f), respectively. (l & m) Line profiles extracted from (a-e) in the vertical and horizontal directions, respectively. (n & o) Line profiles extracted from (f-k) in the vertical and horizontal directions, respectively. In (l-o), the vertical axis represents the amplitude (a.u.) and the horizontal axis represents pixel position along each trajectory.

    Article Snippet: In this article, we introduce PATLAB, an open-source MATLAB-based graphical software package that can perform both PAT simulation and image reconstruction.

    Techniques: Comparison

    Metadata

    Journal: Photoacoustics

    Article Title: PATLAB: A graphical computational software package for photoacoustic computed tomography research

    doi: 10.1016/j.pacs.2022.100404

    Figure Lengend Snippet: Metadata

    Article Snippet: In this article, we introduce PATLAB, an open-source MATLAB-based graphical software package that can perform both PAT simulation and image reconstruction.

    Techniques: Software