pyEIT: A python based framework for Electrical Impedance Tomography | Zendy

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

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pyEIT: A python based framework for Electrical Impedance Tomography

Author(s) -

Benyuan Liu,

Bin Yang,

Canhua Xu,

Junying Xia,

Meng Dai,

Zhenyu Ji,

Fusheng You,

Xiuzhen Dong,

Xuetao Shi,

Feng Fu

Publication year - 2018

Publication title -

softwarex

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.528

H-Index - 21

ISSN - 2352-7110

DOI - 10.1016/j.softx.2018.09.005

Subject(s) - electrical impedance tomography , python (programming language) , computer science , mit license , tomography , software , programming language , open source , computational science , computer graphics (images) , artificial intelligence , physics , optics

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.

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