Ec. Frey et Bmw. Tsui, MODELING THE SCATTER RESPONSE FUNCTION IN INHOMOGENEOUS SCATTERING MEDIA FOR SPECT, IEEE transactions on nuclear science, 41(4), 1994, pp. 1585-1593
We have previously developed a method for accurately and rapidly model
ing the scatter response function in uniform media. In this work we st
udied the extension of this method to nonuniform attenuators. Our appr
oach was to use the water-equivalent source depth, i.e., the integral
of the attenuation coefficient through the nonuniform object from the
source to the surface divided by the attenuation coefficient of water.
We have investigated the accuracy of three different methods based on
this approximation using Monte Carlo (MC) simulation methods. Line so
urces were placed at the same water equivalent depth in slabs composed
of water, bone, and lung. We observed that, for perfect collimation,
the scatter response functions (SRFs) obtained for these slabs are com
parable. To determine whether attenuation coefficients alone are suffi
cient to estimate the SRF or whether one must know the elemental compo
sition, we simulated SRFs for sources in bone and lungs as well as bon
e- and lung-equivalent materials. The bone- and lung-equivalent materi
als have the same attenuation coefficient as bone and lung, respective
ly, but the same elemental composition as water. For the lung-equivale
nt material, the SRFs were essentially equivalent to those from lung;
for the bone-equivalent material, the SRFs were closer to those from w
ater. We have also placed voids of various sizes in slab phantoms whil
e keeping the same water-equivalent source depth. For these simple geo
metries two of the methods based on the effective depth were adequate
for predicting the SRF. Finally, we have simulated the SRF for a line
source in a realistic thorax phantom using several methods based on ge
ometric and water-equivalent distances. The results indicate that one
of the methods gives reasonably good agreement with direct MC simulati
ons in terms of predicting the magnitude and shape of the SRFs and pro
jection data for a complex distribution simulating the heart. This met
hod was not the same as the one that gave good agreement in the case o
f the simpler phantoms.