Three dimensional detection and imaging for human lung based on node back-projection algorithm with a 64 electrodes EIT system

Author

Zhang, Shuai ; Xu, Guizhi ; Zhang, Jianjun ; Wang, Hongbin ; Geng, Duyan ; Shen, Xueqin ; Yan, Weili ; Liu, Fugui ; Yang, Xiaoguang

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China

fYear

2010

fDate

9-12 May 2010

Firstpage

1

Lastpage

1

Abstract

Electrical impedance tomography (EIT) is a medical imaging technique in which an image of the conductivity or permittivity of part of the body is inferred from surface electrical measurements. In the paper an approach of a fast, real-time, three dimensional human lung´s detection and imaging based on node back-projection algorithm with a 64 electrodes EIT system is introduced. The results shows that the system has the capability of reflection on impedance change of the thorax by the images reconstructed during one´s breathing.

Keywords

bioelectric phenomena; electric impedance imaging; image reconstruction; lung; medical image processing; permittivity; pneumodynamics; 3D imaging; 64 electrodes EIT system; back-projection algorithm; breathing; conductivity; electrical impedance tomography; human lung; image reconstruction; node back-projection algorithm; Biomedical electrodes; Biomedical imaging; Conductivity measurement; Electric variables measurement; Humans; Impedance measurement; Lungs; Permittivity measurement; Surface impedance; Tomography;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Computation (CEFC), 2010 14th Biennial IEEE Conference on

Conference_Location

Chicago, IL

Print_ISBN

978-1-4244-7059-4

Type

conf

DOI

10.1109/CEFC.2010.5481635

Filename

5481635