Implementation and validation of an adaptive template registration method for 18F-flutemetamol imaging data

Abstract

The spatial normalization of PET amyloid imaging data is challenging because different white and gray matter patterns of negative (Aβ-) and positive (Aβ+) uptake could lead to systematic bias if a standard method is used. In this study, we propose the use of an adaptive template registration method to overcome this problem. Methods: Data from a phase II study (n = 72) were used to model amyloid deposition with the investigational PET imaging agent 18Fflutemetamol. Linear regression of voxel intensities on the standardized uptake value ratio (SUVR) in a neocortical composite region for all scans gave an intercept image and a slope image. We devised a method where an adaptive template image sp..