Source distribution dependent scatter correction methods which incorpo
rate different amounts of information about. the source position and m
aterial distribution have been developed and tested. The techniques us
e image to projection integral transformation incorporating varying de
grees of information on the distribution of scattering material, or co
nvolution subtraction methods, with some information about the scatter
ing material included in one of the convolution methods. To test the t
echniques, we apply them to data generated by Monte Carlo simulations
which use geometric shapes or a voxelized density map to model the sca
ttering material. Source position and material distribution have been
found to have some effect on scatter correction. An image to projectio
n method which incorporates a density map produces accurate scatter co
rrection but is computationally expensive. Simpler methods, both image
to projection and convolution, can also provide effective scatter cor
rection. 1