In this paper, we present a method of quantitatively measuring in real-time the dynamic temperature field change and visualization volumetric fields generated by 2D axial-symmetric heated fluid from pulsatile jet water tank through off-axis digital holographic interferometry. A Mach-Zehnder interferometer on portable platform was built for experimental investigation. The submerged fed with high...

Filtered back projection (FBP) method, maximum likelihood-expectation maximization(ML-EM) method, and ordered subsets-expectation maximization (OS-EM) method are currently used for reconstruction of SPECT images in clinical studies. In the ML-EM method, images of good quality can be reconstructed even with a small sampling number of projection data, when compared with FBP. Shorter acquisition t...

The paper extends the use of multichannel filtered-x affine projection algorithms suitable for feed-forward active noise control to a broad class of nonlinear filter structures, which comprises also Volterra filters and Functional Link Artificial Neural Networks (FLANN). An analysis of the transient and steady-state behavior of the resulting algorithms is provided. Some experimental results tha...

This paper introduces a neural network approach for solving two-dimensional traveltime tomography (TT) problems based on the eikonal equation. The mathematical problem of TT is to recover slowness field medium boundary measurement traveltimes waves going through medium. inverse map high-dimensional and nonlinear. For circular geometry, perturbative analysis shows that forward can be approximate...

background: butterworth, gaussian, hamming, hanning, and parzen are commonly used spect filters during filtered back-projection (fbp) reconstruction, which greatly affect the quality and size accuracy of image. materials and methods: this study involved a cardiac phantom in which 1.10 cm thick cold defect was inserted into its myocardium wall and filled with 4.0 μci/ml (0.148 mbq/ml) 99mtc conc...

Multi–grid back–projection (MGBP) is a fully–convolutional network architecture that can learn to restore images and videos with upscaling artifacts. Using the same strategy of multi–grid partial differential equation (PDE) solvers this multiscale scales computational complexity efficiently increasing output resolutions. The basic processing block inspired in iterative (IBP) algorithm constitut...