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Recently, techniques for converting site-specific normal databases to other databases have been required for SPECT image statistical analysis. To implement scatter correction, we developed an image conversion technique named image-based scatter correction (IBSC). Furthermore, we evaluated the applicability of IBSC for SPM analysis. SPECT studies were performed on 28 normal volunteers and 10 patients with Alzheimer's disease (AD) using 123 I-IMP. Two sets of scatter uncorrected images, I AC μ b , and a corrected image by TEW, I TEW , were reconstructed with attenuation correction using Chang's method. Scatter corrected images by IBSC, I IBSC , were generated from I AC μ b . Normal databases of I AC μ b , I TEW and I IBSC were compared by SPM analysis. The Z -score (=(mean−AD)/S.D.) of I TEW was compared with that of I AC μ b . Significant differences ( p I AC μ b and I TEW observed at the global posterior cingulate and precuneus regions almost disappeared when I TEW and I IBSC were compared . The Z -score at the posterior cingulate by I TEW was increased compared with that of I AC μ b . We conclude that for SPM analysis of IMP-SPECT, IBSC can convert a normal database of scatter uncorrected images into corrected images, which is equivalent to correction by a conventional TEW method. Scatter correction may improve the ability to detect AD. |
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