pyEIT: A python based framework for Electrical Impedance Tomography

Benyuan Liu; Bin Yang; Canhua Xu; Junying Xia; Meng Dai; Zhenyu Ji; Fusheng You; Xiuzhen Dong; Xuetao Shi; Feng Fu

SoftwareX (Jan 2018)

pyEIT: A python based framework for Electrical Impedance Tomography

Benyuan Liu,
Bin Yang,
Canhua Xu,
Junying Xia,
Meng Dai,
Zhenyu Ji,
Fusheng You,
Xiuzhen Dong,
Xuetao Shi,
Feng Fu

Affiliations

Benyuan Liu: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Bin Yang: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Canhua Xu: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Junying Xia: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Meng Dai: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Zhenyu Ji: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Fusheng You: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Xiuzhen Dong: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Xuetao Shi: Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China
Feng Fu: Corresponding author.; Department of Biomedical Engineering, Fourth Military Medical University, Xi’an, 710032, PR China

Journal volume & issue: Vol. 7
pp. 304 – 308

Abstract

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We present a Python-based, open source Electrical Impedance Tomography (EIT) library called pyEIT. It is a multiplatform software released under the Apache License v2.0. pyEIT has a clean architecture and is well documented. It implements state-of-the-art EIT imaging algorithms and is also capable of simple 2D/3D meshing. pyEIT is written in Python. It accelerates the analysis of offline EIT data and can be incorporated into clinical EIT applications. In this paper, we focus on illustrating the fundamental design principles of pyEIT by using some intuitive examples about EIT forward computing and inverse solving. Keywords: Electrical Impedance Tomography, Inverse problems, Finite element method, Unstructrual mesh

Published in SoftwareX

ISSN: 2352-7110 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software
Website: http://www.journals.elsevier.com/softwarex/

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