Publication detail

The Optimization of Electrical Tomography Algorithms

MIKULKA, J. HLADKÝ, D. DUŠEK, J. KŘÍŽ, T.

Original Title

The Optimization of Electrical Tomography Algorithms

Type

conference paper

Language

English

Original Abstract

The paper discusses the optimization of methods for fast image reconstruction in electrical resistive/impedance/capacitance/infrared tomography. The first portion of the text characterizes the total variation and Tikhonov regularization techniques, including their advantages and drawbacks. Within the related other part, the authors then focus on time optimization in computing the distribution of the desired quantity inside a given object. In this context, the following options are considered: a) adaptive control of the regularizing element of the objective function; b) parallelizing the computation of the Jacobian and the Gauss-Newton system of equations; c) compressive sensing. The parallelization of the algorithm was outlined with respect to the capabilities of a general purpose GPU. In terms of its general goal, the research is intended to design universal libraries for reconstructing complex quantities inside measured objects.

Keywords

EIT, GPGPU, regularization

Authors

MIKULKA, J.; HLADKÝ, D.; DUŠEK, J.; KŘÍŽ, T.

Released

22. 5. 2017

ISBN

978-1-5090-6269-0

Book

PIERS 2017 Proceedings

Pages from

763

Pages to

766

Pages count

4

URL

https://ieeexplore.ieee.org/document/8261844

BibTex

@inproceedings{BUT142255,
  author="Jan {Mikulka} and David {Hladký} and Jan {Dušek} and Tomáš {Kříž}",
  title="The Optimization of Electrical Tomography Algorithms",
  booktitle="PIERS 2017 Proceedings",
  year="2017",
  pages="763--766",
  doi="10.1109/PIERS.2017.8261844",
  isbn="978-1-5090-6269-0",
  url="https://ieeexplore.ieee.org/document/8261844"
}