The purpose of this investigation was to examine the effects of subtractive
scatter compensation methods on lesion detection and quantitation. Methods
: Receiver operating characteristic (ROC) methodology was used to measure h
uman observer detection accuracy for tumors in the liver using synthetic im
ages. Furthermore, ROC results were compared with mathematical models for d
etection and activity quantitation to examine (a) the potential for predict
ing human performance and (b) the relationship between the detection and qu
antitation tasks. Images with both low and high amounts of scatter were com
pared with the ideal case of images of primary photons only (i.e., perfect
scatter rejection) and with images corrected by subtracting a scatter image
estimated by the dual photopeak window method. Results: With low contrast
tumors in a low count background, the results showed that scatter subtracti
on improved quantitation but did not produce statistically significant incr
eases in detection accuracy. However, primary images did produce some stati
stically significant improvements in detection accuracy when compared with
uncorrected images, particularly for high levels of scatter. Conclusion: Al
though scatter subtraction methods may provide improved activity quantitati
on, they may not significantly improve detection for liver SPECT The result
s imply that significant improvement in detection accuracy for the conditio
ns tested may depend on the development of gamma cameras with better scatte
r rejection.