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A Primal Dual Interior Point Framework for EIT Reconstruction and Regularization with 1-Norm and 2-Norm
 

Summary: A Primal Dual Interior Point Framework for EIT Reconstruction and
Regularization with 1-Norm and 2-Norm
A. Borsic1
, A. Adler2
1Thayer School Of Engineering, Dartmouth College, 8000 Cummings Hall Hanover, NH 03755, US
2Department of Systems and Computer Engineering, Carleton University, 1125 Colonel By Drive Ottawa, Canada
E-mail: Andrea.Borsic@Dartmouth.edu
1. Image Reconstruction and Regularization
Image Reconstruction in Electric Impedance Tomography (EIT) is an ill-posed problem. Ill-posedness affects the
reconstruction in two ways: 1) the image is very sensitive to measurement noise, instrumentation and modeling errors 2)
in order to reconstruct meaningful images regularization technique need to be used. This limits the ability to reconstruct
sharp images. Traditionally image reconstruction is formulated as:
rec = argmin

1
2
V () - V meas 2
+
1
2

  

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

 

Collections: Computer Technologies and Information Sciences