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- W2225679079 abstract "This dissertation presents a new Electrical Impedance Imaging (EII) technique for cross-sectional imaging, supported by the results of its application to some specific objects and by analysis. The technique uses Cauchy's Integral Formula (CIF) and image extraction techniques. EII utilizes the differential conductivities of human tissues to get a cross-sectional image. This technique is promising in noninvasively distinguishing benign from malignant tumors.A DC voltage source exposes the object to an electrostatic field. The electric potential on a contour enclosing the object is measured. The electric potential distribution inside the enclosed domain is calculated by CIF. The potential distribution is processed by an algorithm to determine the boundary lines between different media as defined by their differential conductivities. The basis of the algorithm is the general behavior of the electric potential near a boundary. Four of these algorithms involving the first derivative, gradient, and comparison of the potential function and Laplace's equation are presented and used.Images produced are influenced by system parameters: displaying grid spacing, measurement noise, location, value and shape of the voltage source and electrodes' location errors. The present configuration achieved a spatial resolution of 6.0 $pm$ 0.5 mm and accuracy of 85%. The spatial resolution is limited, mainly, by the graphics computer memory, and the accuracy is affected, mainly, by measurement noise." @default.
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- W2225679079 date "1992-01-01" @default.
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- W2225679079 title "A Cauchy's integral formula approach and extraction algorithms for cross-sectional imaging" @default.
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