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Reconstruction of Conductivity Changes and Electrode Movements Based on EIT Temporal
 

Summary: Reconstruction of Conductivity Changes and
Electrode Movements Based on EIT Temporal
Sequences
Tao Dai, Camille G´omez-Laberge and Andy Adler
Systems and Computer Engineering, Carleton University, Ottawa, Canada
E-mail: adler@sce.carleton.ca
Abstract. Electrical impedance tomography (EIT) reconstructs a conductivity
change image within a body from electrical measurements on body surface; while
it has relatively low spatial resolution, it has a high temporal resolution. One key
difficulty with EIT measurements is due to the movement and position uncertainty
of the electrodes, especially due to breathing and posture change. In this paper,
we develop an approach to reconstruct both the conductivity change image and the
electrode movements from the temporal sequence of EIT measurements. Since both the
conductivity change and electrode movement are slow with respect to the data frame
rate, there are significant temporal correlations which we formulate as priors for the
regularized image reconstruction model. Image reconstruction is posed in terms of a
regularization matrix and Jacobian matrix which are augmented for the conductivity
change and electrode movement, and then further augmented to concatenate the d
previous and future frames. Results are shown for simulation, phantom and human
data, and show that the proposed algorithm yields improved resolution and noise

  

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

 

Collections: Computer Technologies and Information Sciences