In optical diffusion tomography the reconstruction of the absorbtion and sc
attering coefficients is conventionally carried out in a pixel basis. The r
esulting number of unknowns makes the associated inverse problem severely i
ll-posed. We have recently proposed a new approach in which the goal is to
reconstruct boundaries of piecewise constant tissue regions as well as the
diffusion and absorption coefficients within these regions. This method ass
umes that there is a feasible initial guess on the domain boundaries. In th
is paper we propose an extension to this approach in which the initial esti
mate for the boundary and coefficient estimation is extracted from a conven
tional pixel based reconstruction using standard image processing operation
s. In the computation of the pixel based reconstruction the output least sq
uares problem is augmented with an approximated total variation prior. The
performance of the proposed approach is evaluated using simulated frequency
domain data. It is shown that since the total variation type approach favo
rs domains with constant coefficients it is well suited for the fixing of t
he starting point for the actual boundary and coefficient reconstruction me
thod. (C) 2000 Optical Society of America.