matlab-based open-source simulation environment for federated learning intelligent reflecting surface Search Results


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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.
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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.
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Image Search Results


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

The 3D graphic simulation environment.

Journal: Journal of Healthcare Engineering

Article Title: Development of a Prototype Robotic System for Radiosurgery with Upper Hemispherical Workspace

doi: 10.1155/2017/4264356

Figure Lengend Snippet: The 3D graphic simulation environment.

Article Snippet: In order to design the manipulator, kinematic and dynamic analyses are conducted and implemented in a 3D graphic simulator based on one of MATLAB-based open source robotics toolboxes, ARTE.

Techniques:

The six postures in the 3D graphic environments.

Journal: Journal of Healthcare Engineering

Article Title: Development of a Prototype Robotic System for Radiosurgery with Upper Hemispherical Workspace

doi: 10.1155/2017/4264356

Figure Lengend Snippet: The six postures in the 3D graphic environments.

Article Snippet: In order to design the manipulator, kinematic and dynamic analyses are conducted and implemented in a 3D graphic simulator based on one of MATLAB-based open source robotics toolboxes, ARTE.

Techniques: