Author
   Adler A. Guardo R.
Institution
   Inst. de Genie Biomed., Ecole Polytech., Montreal, Que., Canada.
Title
   Electrical impedance tomography: regularized imaging and contrast
   detection.
Source
   IEEE Transactions on Medical Imaging, vol.15, no.2, April 1996, pp.170-9.
   Publisher: IEEE, USA.
Abstract
   Dynamic electrical impedance tomography (EIT) images changes in the
   conductivity distribution of a medium from low frequency electrical
   measurements made at electrodes on the medium surface. Reconstruction of
   the conductivity distribution is an under-determined and ill-posed
   problem, typically requiring either simplifying assumptions or
   regularization based on a priori knowledge. This paper presents a maximum
   a posteriori (MAP) approach to linearized image reconstruction using
   knowledge of the noise variance of the measurements and the covariance of
   the conductivity distribution. This approach has the advantage of an
   intuitive interpretation of the algorithm parameters as well as fast (near
   real time) image reconstruction. In order to compare this approach to
   existing algorithms, the authors develop figures of merit to measure the
   reconstructed image resolution, the noise amplification of the image
   reconstruction, and the fidelity of positioning in the image. Finally, the
   authors develop a communications systems approach to calculate the
   probability of detection of a conductivity contrast in the reconstructed
   image as a function of the measurement noise and the reconstruction
   algorithm used.