This paper addresses the problem of selecting measurement data types suitab
le for image reconstruction in optical tomography. The principal problem is
the necessity to simultaneously reconstruct both the absorption and scatte
r distribution within an object. This can lead to ambiguities between these
two parameters, and result in cross-talk and image artefact.
A single-perturbation test problem is used to show that the ability to sepa
rate the absorption and scatter maps depends critically on the measurement
data types used in the reconstruction, and that significant improvement can
be achieved by a combination of suitable data sets.
These results are verified by performing reconstructions of a simulated tes
t object with a complex internal structure of embedded inhomogeneities, fro
m which a variety of time-domain forward data sets are calculated. It is sh
own that dc data are insufficient to separate absorption and scatter featur
es in the images, whereas a combination of moments and Laplace transforms o
f the temporal measurement signal provides the best reconstruction results
of the data types investigated.