MultiGPU, MultiNode Algorithms for Acceleration of Image Reconstruction in 3D Electrical Capacitance Tomography in Heterogeneous Distributed System Electrical capacitance tomography (ECT) is one of noninvasive visualization techniques which can be used for industrial process monitoring. However, acquiring images trough 3D ECT often requires performing time consuming complex computations on large size matrices. Therefore, a new parallel approach for 3D ECT image reconstruction is proposed, which is based on application of multiGPU, multinode algorithms in heterogeneous distributed system. This solution allows to speed up the required data processing. Distributed measurement system with a new framework for parallel computing and a special plugin dedicated to ECT are presented in the paper. Computing system architecture and its main features are described. Both data distribution as well as transmission between the computing nodes are discussed. System performance was measured using LBP and the Landweberxe2x80x99s reconstruction algorithms which were implemented as a part of the ECT plugin. Application of the framework with a new network communication layer reduced data transfer times significantly and improved the overall system efficiency.

Simulation Study of TwoPhase Fluid 3D Imaging Using LabonChip ECT Electrical Capacitance Tomography (ECT) is a popular technique for multiphase fluidic imaging. For the sake of better microfluidics handling within a miniaturized platform, this paper presents a simulation study of a labonchip 3D ECT model with two set of 8planarelectrode arrays position circularly on the top and bottom layer of the sensing microchamber. The presented simulation studies are to reconstruct the 3D images of a square phantom (water) in a background (air) with different location by using Linear Backward Propagation (LBP) as the image reconstruction algorithm. The simulation results have shown that the proposed labonchip 3D ECT is capable to identify the different position of the phantom.