Dear Nitish,

In EIT, the resolution of the image will depend on the volume of your domain, the number of independent measurements you have, and the algorithms and apriori information you use. You could estimate the maximum resolution (in theory) for a volume V and a Ne-electrodes sensor as : [V/ (Ne*(Ne-1)/2)]^0.33

In practice, the resolution will not be that good, and you need more informations about your setup to answer.

Dear Ahmad,

I have dealt with the similar question recently.

David Isaacson dealt with this question with respect to measurement precision in his work [1]:

[1] D. Isaacson, Distinguishability of Conductivities by Electric Current Computed Tomography, IEEE Transactions on Medical Imaging, 1986.

Yours sincerely,

JC

Article Distinguishability of Conductivities by Electric Current Com...

Dear Ahmad,

it heavily depends on your setup (SNR, electrode topology, mesh discretization, reconstruction method, etc..). With a good setup and commonly employed "general" regularized reconstruction algorithms, such as Tikhonov and Total Variation regularization, you can generally expect to reliably reconstruct conductivity contrasts that are 10% to 5% of the whole reconstruction volume.

Moreover, localization accuracy is usually significantly better than shape estimation accuracy.

Regards,

Andrea