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Noname manuscript No. (will be inserted by the editor)
 

Summary: Noname manuscript No.
(will be inserted by the editor)
Tao Dai Manuchehr Soleimani Andy Adler
EIT Image Reconstruction with Four Dimensional
Regularization
Received: date / Accepted: date
Abstract Electrical impedance tomography (EIT) reconstructs internal impedance images of the body
from electrical measurements on body surface. The temporal resolution of EIT data can be very high,
although the spatial resolution of the images is relatively low. Most EIT reconstruction algorithms
calculate images from data frames independently, although data are actually highly correlated espe-
cially in high speed EIT systems. This paper proposes a 4-D EIT image reconstruction for functional
EIT. The new approach is developed to directly use prior models of the temporal correlations among
images and 3-D spatial correlations among image elements. A fast algorithm is also developed to re-
construct the regularized images. Image reconstruction is posed in terms of an augmented image and
Tao Dai
System and Computer Engineering, Carleton University, 1125 Colonel By Drive, Ottawa, Canada, K1S 5B6
E-mail: tdai@sce.carleton.ca
Manuchehr Soleimani
Electronic and Electrical Engineering, University of Bath, Bath, United Kingdom, BA2 7AY
E-mail: m.soleimani@bath.ac.uk

  

Source: Adler, Andy - Department of Systems and Computer Engineering, Carleton University

 

Collections: Computer Technologies and Information Sciences