Abstract
If electrical impedance tomography is to be used as a clinical tool, the imagereconstruction algorithms must yield accurate images of impedance changes. Oneof the keys to producing an accurate reconstructed image is the inclusion ofprior information regarding the physical geometry of the object. To achievethis, many researchers have created tools for solving the forward problem bymeans of finite element methods (FEMs). These tools are limited, allowing onlya set number of meshes to be produced from the geometric information of theobject. There is a clear need for geometrical accurate FEM models to improvethe quality of the reconstructed images. We present a commercial tool calledIDEAS, which can be used to create FEM meshes for these models. Theapplication of this tool is demonstrated by using segmented data from thehuman head to model impedance changes inside the head.
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