Title :
Electrode boundary conditions and experimental validation for BEM-based EIT forward and inverse solutions
Author :
Babaeizadeh, Saeed ; Brooks, Dana H. ; Isaacson, David ; Newell, Jonathan C.
Author_Institution :
Philips Med., Adv. Algorithm Res. Center, Thousand Oaks, CA
Abstract :
In this paper, we present theoretical developments and experimental results for the problem of estimating the conductivity map inside a volume using electrical impedance tomography (EIT) when the boundary locations of any internal inhomogeneities are known. We describe boundary element method (BEM) implementations of advanced electrode models for the forward problem of EIT. We then use them in the inverse problem with known internal boundaries and derive the associated Jacobians. We report on the results of two EIT phantom studies, one using a homogeneous cubical tank, and one using a cylindrical tank with agar conductivity inhomogeneities. We test both the accuracy of our BEM forward model, including the electrode models, as well as our inverse solution, against the measured data. Results show good agreement between measured values and both forward-computed tank voltages and inverse-computed conductivities; for instance, in a phantom experiment, we reconstructed the conductivities of three agar objects inside a cylindrical tank with an error less than 2% of their true value
Keywords :
Jacobian matrices; bioelectric potentials; biomedical electrodes; boundary-elements methods; electric impedance imaging; image reconstruction; inverse problems; medical image processing; phantoms; BEM-based EIT; Jacobian; advanced electrode models; agar conductivity inhomogeneities; boundary element method; conductivity map estimation; conductivity reconstruction; cylindrical tank; electrical impedance tomography; electrode boundary conditions; forward solutions; forward-computed tank voltages; homogeneous cubical tank; inverse solutions; inverse-computed conductivities; phantom; Boundary conditions; Boundary element methods; Conductivity; Electrodes; Imaging phantoms; Impedance; Inverse problems; Jacobian matrices; Testing; Tomography; Boundary element method; electrical impedance tomography; electrode models; experimental validation; inverse problem;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2006.879957