About

ECTSim MATLAB's Toolbox is designed to model electrical tomography in both two-dimensional and three-dimensional applications. The example files, 'example_2D.m' and 'example_3D.m', illustrate how to prepare a model within our software. They demonstrate simulating the distribution of electromagnetic fields, conducting complex impedance measurements, and performing image reconstructions using sensitivity matrices.

Citation

Wanta, D., Smolik, W. T., & Kryszyn, J. (2024). Data-Acquisition-and-Processing-Lab/ECTsim: ECTsim2024 (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.12723479

Numerical modeling

We have prepared a set of functions that, using geometric primitives and simple transformations, enable the creation of any 2D and 3D objects needed to model a measurement sensor for electrical tomography.

Function 1 Screenshot

Forward problem solver

ECTsim utilizes the Finite Volume Method with a quadtree and octree mesh refinement for 2D and 3D models, respectively.

Function 2 Screenshot

Measurement simulation

In ECTsim, the complex electric field is modeled, making it possible to simulate both the distribution of conductivity and the inter-electrode capacitance in the tomography sensor.

Function 3 Screenshot Function 3 Screenshot 2

Image reconstruction

The toolbox includes four fundamental image reconstruction algorithms: LBP, PINV, Landweber, and a semi-linear implementation of the Levenberg-Marquardt algorithm.

Function 4 Screenshot

Download

Distribution DOI Release Date
ECTsim2024 v1.0.0 ZIP Icon 10.5281/zenodo.12723479 2024-07-11

This project is open source and available on GitHub under the Apache-2.0 license:

If you use ECTSim in your research, you are obligated to cite the following papers:

  1. D. Wanta, W. T. Smolik, J. Kryszyn, P. Wróblewski, M. Midura, "A Finite Volume Method using a Quadtree Non-Uniform Structured Mesh for Modeling in Electrical Capacitance Tomography," Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 92, 443-452, 2021. DOI: 10.1007/s40010-021-00748-7

  2. D. Wanta, W. T. Smolik, J. Kryszyn, M. Midura, P. Wróblewski, "Image reconstruction using Z-axis spatio-temporal sampling in 3D electrical capacitance tomography," Measurement Science & Technology, 33(11), 2022. DOI: 10.1088/1361-6501/ac8220

  3. Mikhail Ivanenko, Waldemar T. Smolik, Damian Wanta, Mateusz Midura, Przemysław Wróblewski, Xiaohan Hou, Xiaoheng Yan, "Image Reconstruction Using Supervised Learning in Wearable Electrical Impedance Tomography of the Thorax," Sensors 23(18):7774, 2023. DOI: 10.3390/s23187774

Documentation

Distribution Release Date
ECTsim2024 v1.0.0 PDF Icon 2024-07-11

The documentation can be found on the project's GitHub wiki:

Contact

Data Acquisition and Processing Lab
Institute of Radioelectronics and Multimedia Technology
Warsaw University of Technology

Nowowiejska 15/19
00-665 Warsaw
Poland

e-mail:
damian.wanta@pw.edu.pl
waldemar.smolik@pw.edu.pl

Key Authors

Dr. Damian Wanta
Prof. Waldemar T. Smolik
Dr. Jacek Kryszyn

Additional Contributors

Mateusz Stępniewski
Oliwia Makowiecka
Aleksandra Kot