Distributed systems for acquisition and analysis of multi-source data in industrial and medical tomography

T. Rymarczyk
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Abstract

The article presents the idea of a distributed system for industrial and medical tomography. The paper shows examples of reconstruction of images made by the author using various tomographic techniques and reconstruction algorithms. Depending on specific technological tomography, both advantages and disadvantages can be observed in terms of accuracy, frequency and resolution of reproduced images. Knowledge of the characteristics of each tomographic technique allows you to choose the appropriate method of image reconstruction. The proposed model of the cyber-physical system consists of a set of sensors, processing unit, Big Data cluster, algorithms for processing data in the cloud and data analysis and visualization.
用于工业和医学断层扫描中多源数据采集和分析的分布式系统
本文提出了一种用于工业和医学断层扫描的分布式系统的思想。本文展示了作者使用各种层析成像技术和重建算法对图像进行重建的例子。根据特定的断层扫描技术,可以在再现图像的准确性、频率和分辨率方面观察到优点和缺点。了解每种层析成像技术的特点可以让您选择合适的图像重建方法。提出的网络物理系统模型由一组传感器、处理单元、大数据集群、用于处理云数据的算法以及数据分析和可视化组成。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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