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Summary: Four-Dimensional Regularization for Electrical Impedance Tomography Imaging
Tao Dai
1
, Manuchehr Soleimani
2
, Andy Adler
1
1
Systems and Computer Engineering, Carleton University, Ottawa, Canada
2
William Lee Innovation Centre, University of Manchester, U.K.
Abstract--This paper proposes 4-D EIT image reconstruc-
tion for functional EIT measurements. The approach directly
accounts for 3-D interslice spatial correlations and temporal
correlations between images in successive data frames. Image
reconstruction is posed in terms of an augmented image ~x and
measurement vector ~y, which concatenate the values from the d
previous and future frames. Image reconstruction is then based
on an augmented regularization matrix ~R, which accounts for
a model with 4-D correlations of image elements, interslices
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