Dual-window scatter correction and energy window setting in cerebral bloodflow SPECT: a Monte Carlo study

The image quality in SPECT studies of the regional cerebral blood flow (rCB F) performed with Tc-99m-HMPAO is degraded by scattered photons. The finite energy resolution of the gamma camera makes the detection of scattered pho tons unavoidable, and this is observed in the image as an impaired contrast between grey and white matter structures. In this work, a Monte Carlo simulated SPECT study of a realistic voxel-base d brain phantom was used to evaluate the resulting contrast-to-noise ratio for a number of energy window settings, with and without the dual-window sc atter correction. Values of the scaling factor k, used to obtain the fracti on of scattered photons in the photopeak window, were estimated for each en ergy window. The use of a narrower, asymmetric, energy discrimination window improved th e contrast, with a subsequent increase in statistical noise due to the lowe r number of counts. The photopeak-window setting giving the best contrast-t o-noise ratio was found to be the same whether or not scatter correction wa s applied. Its value was 17% centred at 142 keV. At the optimum photopeak-w indow setting, the contrast was improved by using scatter correction, but t he contrast-to-noise ratio was made worse.