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 123I-IMP. Two sets of scatter uncorrected images, IACμb, and a corrected image by TEW, ITEW, were reconstructed with attenuation correction using Chang's method. Scatter corrected images by IBSC, IIBSC, were generated from IACμb. Normal databases of IACμb, ITEW and IIBSC were compared by SPM analysis. The Z-score (=(mean−AD)/S.D.) of ITEW was compared with that of IACμb. Significant differences (p<0.05) between normal databases of IACμb and ITEW observed at the global posterior cingulate and precuneus regions almost disappeared when ITEW and IIBSC were compared. The Z-score at the posterior cingulate by ITEW was increased compared with that of IACμb. 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.
- Regional cerebral blood flow
- Scatter correction
- Single photon emission computed tomography
- statistical analysis
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