Publication detail

Using a GPU to Accelerate Electrical Impedance Tomography Algorithms

DUŠEK, J. MIKULKA, J.

Original Title

Using a GPU to Accelerate Electrical Impedance Tomography Algorithms

Type

conference paper

Language

English

Original Abstract

This paper discusses parallelizing an algorithm for image reconstruction in EIT. A GPU NVIDIA platform with CUDA kernel was used for data processing. Introductory section comprises description of EIT and relevant practical applications. The following chapter outlines objective function with Tikhonov regularization and possibility of mathematical extension to increase image resolution. Besides we also characterize the modification of reconstruction algorithm with respect to computional speed. The achieved results are discussed with a survey of the achieved algorithm acceleration and related problems.

Keywords

GPU, Tikhonov regularization, parallelization, Tomography

Authors

DUŠEK, J.; MIKULKA, J.

Released

11. 9. 2017

Location

Lodz, Polsko

ISBN

978-83-7283-858-2

Book

Proceedings of IIPhDW 2017 in Lodz

Pages from

59

Pages to

63

Pages count

5

BibTex

@inproceedings{BUT139897,
  author="Jan {Dušek} and Jan {Mikulka}",
  title="Using a GPU to Accelerate Electrical Impedance Tomography Algorithms",
  booktitle="Proceedings of IIPhDW 2017 in Lodz",
  year="2017",
  pages="59--63",
  address="Lodz, Polsko",
  isbn="978-83-7283-858-2"
}