Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies
Pierrick Bourgeat, Vincent Dore, James Doecke, David Ames, Colin L Masters, Christopher C Rowe, Jurgen Fripp, Victor L Villemagne
NeuroImage | ACADEMIC PRESS INC ELSEVIER SCIENCE | Published : 2021
BACKGROUND: Centiloid was introduced to harmonise β-Amyloid (Aβ) PET quantification across different tracers, scanners and analysis techniques. Unfortunately, Centiloid still suffers from some quantification disparities in longitudinal analysis when normalising data from different tracers or scanners. In this work, we aim to reduce this variability using a different analysis technique applied to the existing calibration data. METHOD: All PET images from the Centiloid calibration dataset, along with 3762 PET images from the AIBL study were analysed using the recommended SPM pipeline. The PET images were SUVR normalised using the whole cerebellum. All SUVR normalised PiB images from the calibr..View full abstract
Awarded by National Health and Medical Research Council
Awarded by National Institutes of Health
This work was supported by the National Health and Medical Research Council [GA16788] and the National Institutes of Health [R01-AG058676-01A1].