Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Harmonising Multisite Brain MRI Data: Insights from the Dementias Platform UK (DPUK) PET-MR harmonisation Study

Lookup NU author(s): Professor John-Paul TaylorORCiD, Professor John O'Brien

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 The Alzheimer's Association. Alzheimer's & Dementia published by Wiley Periodicals LLC on behalf of Alzheimer's Association. BACKGROUND: The DPUK PET-MR Harmonisation Study aims to quantify within-site and across-site variability of brain scans across scanning equipment. Brain images were acquired from 8 PET-MR scanners to optimise clinical trial design and evaluate PET-MR methods. Scans were collected from healthy elderly participants in three groups: Repeated, Intra-manufacturer, and Inter-manufacturer (Table 1). This study examines variability in imaging-derived phenotypes (IDPs) from T1-weighted MRI scans and evaluates harmonisation methods. METHOD: All T1w scans were processed using the UK Biobank (UKB) pipeline to extract volumetric IDPs (total brain, tissue-specific, hippocampus). Within-subject (scanner) variability was quantified using the Coefficient of Variation (CoV) for each subject pair and IDP. In the inter-manufacturer group, CoV and cross-subject variability (biological variability measured as across subjects' standard deviation of within-subject mean IDP) were assessed following three harmonisation approaches: IQM-based: Identify image quality metrics (IQMs) (e.g., noise, contrast) that significantly differ across scanners and exhibit low correlation (-0.5


Publication metadata

Author(s): Bhalerao GV, Markiewicz PJ, Thomas DL, de Vita E, Parkes L, Thompson G, MacKewn J, Krokos G, Wimberley C, Hallett W, Su L, Smith S, Malhotra P, Hoggard N, Taylor J-P, Ritchie C, Wardlaw JM, Matthews PM, Aigbirho FI, O'Brien JT, Hammers A, Fox NC, Herholz K, Barkhof F, Miller K, Matthews J, Griffanti L

Publication type: Article

Publication status: Published

Journal: Alzheimer's & Dementia

Year: 2025

Volume: 21

Online publication date: 24/12/2025

Acceptance date: 02/04/2018

Date deposited: 08/01/2026

ISSN (print): 1552-5260

ISSN (electronic): 1552-5279

Publisher: John Wiley and Sons Inc.

URL: https://doi.org/10.1002/alz70856_097537

DOI: 10.1002/alz70856_097537

PubMed id: 41442709

Notes: Supplement: Biomarkers


Altmetrics

Altmetrics provided by Altmetric


Share