By Topic

A Novelty Dynamic Image Reconstruction Algorithm in Electrical Impedance Tomography Based on Nachman Theory

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Li Yaqin ; Dept. of Comput. & Inf. Eng., Wuhan Polytech. Univ. (WHPU), Wuhan, China

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. Mathematically, the problem of recovering conductivity from surface measurements of current and potential is a non-linear inverse problem and is severely ill-posed. In this paper, we propose a novelty algorithm which based on Nachman theory. The algorithm is validated by numerical simulations of a domain with fixed resistively and by experimental data collected from the boundary of a human chest during normal breathing. The experiment result shows that the algorithm takes the advantage of speed and accurate.

Published in:

Information Technology and Applications (IFITA), 2010 International Forum on  (Volume:2 )

Date of Conference:

16-18 July 2010