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A new current injection and voltage measurement strategy of 3D electrical impedance tomography based on scanning electrode.
Liu, Jinzhen; Zhu, Zhaoqi; Xiong, Hui; Li, Chunchan; Chen, Yunjun.
Afiliação
  • Liu J; School of Control Science and Engineering, Tiangong University, Tianjin, China.
  • Zhu Z; School of Control Science and Engineering, Tiangong University, Tianjin, China.
  • Xiong H; School of Control Science and Engineering, Tiangong University, Tianjin, China.
  • Li C; Engineering Teaching Practice Training Center, Tiangong University, Tianjin, China.
  • Chen Y; School of Control Science and Engineering, Tiangong University, Tianjin, China.
Rev Sci Instrum ; 93(9): 094704, 2022 Sep 01.
Article em En | MEDLINE | ID: mdl-36182463
ABSTRACT
Electrical impedance tomography (EIT) technology is an important imaging approach to show the conductivity distribution of the area noninvasively. Recently, 3D EIT has been extensively studied for its more comprehensive display of electrical properties. Nonetheless, most 3D EIT electrode models are based on multilayer ring electrodes and only suitable for specific scenarios. In order to overcome its limitations and alleviate the ill-condition of 3D EIT, we propose a new current injection and voltage measurement strategy based on scanning row electrodes (SRE) called the back electrode excitation (BEEM) strategy and select the optimal number of excitation electrodes according to different imaging effects. A 3D electrical impedance imaging system based on SRE is designed. Then, the traditional excitation measurement strategy is introduced, and the two strategies are compared through simulation and actual experiments. The results show that the BEEM strategy with SRE can not only obtain rich potential information in the finite field but also significantly improve the imaging detection depth, accuracy, and noise immunity compared with the flat electrode array.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Rev Sci Instrum Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China