Northwestern University

Suzan Van Der Lee

Chulin Wang

Claire Cecelia Onsager

Can Cenap Aygen

Charles M Costakis

Andreas Tzavelis

Lauren E Lang

The disclosed 2-D resistance tomographic imaging method optimizes computation speed for performing electrical impedance tomography using a model-space with a minimal number of orthonormal polynomial basis functions to describe discernable features in the 2-D resistance tomographic image, determining a minimal number of contacts to take fewer measurements than available information based on the number of basis functions, selecting a subset of rows of a matrix of calculated sensitivity coefficients to form a square Jacobian matrix for a linearized forward problem to be solved and inversion of the linear forward problem, and solving an inverse problem based on the square Jacobian matrix by performing at least one iteration of a Newton's method solve.

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Evanston, IL, United States of America

Suzan Van Der Lee