Electrical impedance tomography is a non-invasive imaging technique wh
ich aims to image the impedance within a body from electrical measurem
ents made on the surface. The reconstruction of impedance images is a
ill-posed problem which is both extremely sensitive to noise and highl
y computationally intensive. This paper defines an experimental measur
ement in EIT and calculates optimal experiments which maximize the dis
tinguishability between the region to be imaged and a best-estimate co
nductivity distribution. These optimal experiments can be derived from
measurements made on the boundary. The analysis clarifies the propert
ies of different voltage measurement schemes. A reconstruction algorit
hm based on the use of optimal experiments is derived. It is shown to
be many times faster than standard Newton-based reconstruction algorit
hms, and results from synthetic data indicate that the images that it
produces are comparable.