Abstract
INTRODUCTION
A key goal of the Alzheimer’s Disease NeuroImaging Initiative (ADNI) positron emission tomography (PET) Core is to harmonize quantification of β-amyloid (Aβ) and tau PET image data across multiple scanners and tracers.
METHODS
We developed an analysis pipeline (Berkeley PET Imaging Pipeline, B-PIP) for ADNI Aβ and tau PET images and applied it to PET data from other multisite studies. Steps include image pre-processing, refacing, magnetic resonance imaging (MRI)/PET co-registration, visual quality control (QC), quantification of tracer uptake, and standardization of Aβ and tau standardized uptake value ratios (SUVrs) across tracers.
RESULTS
Measurements from 10,105 cross-sectional and longitudinal Aβ and tau PET scans acquired in several studies between 2010 and 2024 can be processed, harmonized, and directly merged across tracers and cohorts.
DISCUSSION
The B-PIP developed in ADNI is a scalable image harmonization approach used in several observational studies and clinical trials that facilitates rigorous Aβ and tau PET quantification and data sharing.
Highlights
Quantitative results from ADNI Aβ and tau PET data are generated using a rigorous, scalable image processing pipeline
This pipeline has been applied to PET data from several other large, multisite studies and trials
Quantitative outcomes are harmonizable across studies and are shared with the scientific community
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This post is Copyright: Susan M. Landau,
Theresa M. Harrison,
Suzanne L. Baker,
Martin S. Boswell,
JiaQie Lee,
Jacinda Taggett,
Tyler J. Ward,
Trevor Chadwick,
Alice Murphy,
Charles DeCarli,
Christopher G. Schwarz,
Prashanthi Vemuri,
Clifford R. Jack Jr.,
Robert A. Koeppe,
William J. Jagust,
for the U.S. POINTER Study Group and for the Alzheimer’s Disease Neuroimaging Initiative | November 19, 2024