A Novel GUI-Based Image Reconstruction Algorithm of EIT Imaging Technique

IF 0.6 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Ramesh Kumar, S. Tripathi
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引用次数: 0

Abstract

Electrical impedance tomography (EIT) is a non-invasive technique that is used to estimate the electrical properties of a medical or non-medical object through the boundary data of the object. It used to achieve functional imaging of different objects by measuring electrical conductivity and impedance parameters. In this paper, a novel image reconstruction algorithm is presented, which is based on graphical user interface (GUI) developed on MATLAB software platform. EIT imaging algorithm consists of a forward problem and an inverse problem. The forward problem is formulated with the conductance matrix, and a non-iterative inverse method is used to estimate the conductivity distribution. Image display and data analysis are implemented and controlled directly in the GUI. The numerical simulations and phantom experiments have been carried out to evaluate the performance of the proposed algorithm and other previous research data through quantitative parameters. The obtained result shows satisfactory and comparable results to other EIT imaging algorithm.
一种新的基于gui的EIT成像技术图像重建算法
电阻抗断层扫描(EIT)是一种非侵入性技术,用于通过物体的边界数据估计医疗或非医疗物体的电学特性。它通过测量电导率和阻抗参数来实现对不同物体的功能成像。本文提出了一种基于MATLAB软件平台开发的图形用户界面(GUI)的图像重建算法。EIT成像算法包括一个正演问题和一个逆演问题。用电导矩阵表示正演问题,并采用非迭代反求方法估计电导分布。图像显示和数据分析直接在GUI中实现和控制。通过数值模拟和模拟实验,通过定量参数对所提算法的性能和前人的研究数据进行了评价。所得结果与其他EIT成像算法具有较好的可比性。
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来源期刊
CiteScore
2.00
自引率
11.10%
发文量
16
期刊介绍: The International Journal of Cognitive Informatics and Natural Intelligence (IJCINI) encourages submissions that transcends disciplinary boundaries, and is devoted to rapid publication of high quality papers. The themes of IJCINI are natural intelligence, autonomic computing, and neuroinformatics. IJCINI is expected to provide the first forum and platform in the world for researchers, practitioners, and graduate students to investigate cognitive mechanisms and processes of human information processing, and to stimulate the transdisciplinary effort on cognitive informatics and natural intelligent research and engineering applications.
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