Journal: Sensors (Basel, Switzerland)

Article Title: Wireless Communication Test on 868 MHz and 2.4 GHz from inside the 18650 Li-Ion Enclosed Metal Shell

doi: 10.3390/s22051966

Figure Lengend Snippet: MATLAB RF test setup initial azimuth and elevation planes polar plots for 868 MHz and 2.4 GHz communication with the SMA as radiative element ( A ), the wire loop connected to the SMA ( B ) and the modification on the 3D design for the SMA to insert the simulation RF excitation source ( C ). Since the radiation pattern for dipole and loop antenna are resembling in shape with a torus while 90° offset from each other, the azimuth (az) plane for SMA is similar with the elevation (el) plane for the loop.

Article Snippet: By using the 3D MATLAB simulation, it was possible to illustrate how microwave antennas would be affected by small restrictive metal environments, such as the 18650-cell shell.

Techniques: Modification

Journal: Sensors (Basel, Switzerland)

Article Title: Wireless Communication Test on 868 MHz and 2.4 GHz from inside the 18650 Li-Ion Enclosed Metal Shell

doi: 10.3390/s22051966

Figure Lengend Snippet: MATLAB signal attenuation simulation by using the Three-ray and Free space models for 868 MHz and 2.4 GHz for following the scenario described in ( A ), resulting in a computed reflection coefficient versus distance for the concrete ground and ceiling such illustrated in ( B ).

Article Snippet: By using the 3D MATLAB simulation, it was possible to illustrate how microwave antennas would be affected by small restrictive metal environments, such as the 18650-cell shell.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Wireless Communication Test on 868 MHz and 2.4 GHz from inside the 18650 Li-Ion Enclosed Metal Shell

doi: 10.3390/s22051966

Figure Lengend Snippet: MATLAB 3D radiation pattern simulation for the cell’s shell radiative structure integrating the SMA and the wired loop for 868 MHz and 2.4 GHz over the ground plane in a vertical orientation.

Article Snippet: By using the 3D MATLAB simulation, it was possible to illustrate how microwave antennas would be affected by small restrictive metal environments, such as the 18650-cell shell.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Wireless Communication Test on 868 MHz and 2.4 GHz from inside the 18650 Li-Ion Enclosed Metal Shell

doi: 10.3390/s22051966

Figure Lengend Snippet: MATLAB 3D radiation pattern simulation for the cell’s shell radiative structure integrating the SMA and the wired loop for 868 MHz and 2.4 GHz over the ground plane in a horizontal orientation.

Article Snippet: By using the 3D MATLAB simulation, it was possible to illustrate how microwave antennas would be affected by small restrictive metal environments, such as the 18650-cell shell.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Wireless Communication Test on 868 MHz and 2.4 GHz from inside the 18650 Li-Ion Enclosed Metal Shell

doi: 10.3390/s22051966

Figure Lengend Snippet: MATLAB signal attenuation simulation by using the Three-Ray and Free space models for 868 MHz ( A ), and 2.4 GHz ( B ), between the concrete ground.

Article Snippet: By using the 3D MATLAB simulation, it was possible to illustrate how microwave antennas would be affected by small restrictive metal environments, such as the 18650-cell shell.

Techniques:

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:

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:

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

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

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

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