Related Experiment Video
Updated: May 14, 2025

Author Spotlight: An Efficient and Robust Software for Automated Fusion of Multiple Preclinical Imaging Modalities
Published on: October 27, 2023
A multi-site, multi-modal travelling-heads resource for brain MRI harmonisation
Shaun Warrington1, Andrea Torchi1, Olivier Mougin2
1Sir Peter Mansfield Imaging Centre, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
This study introduces the ON-Harmony resource, a comprehensive dataset for magnetic resonance imaging (MRI) harmonization. It addresses scanner variability to improve the reproducibility and quantifiability of brain imaging research.
Area of Science:
- Neuroimaging
- Medical Physics
- Biomedical Engineering
Background:
- Magnetic Resonance Imaging (MRI) is crucial for studying the living brain.
- Non-biological factors like scanner variations limit MRI reproducibility and quantifiability.
- Standardization is needed to overcome these limitations in multi-site neuroimaging studies.
Purpose of the Study:
- To present the Oxford-Nottingham Harmonisation (ON-Harmony) resource, a comprehensive dataset for MRI harmonization.
- To provide a resource for mapping biological, between-scanner, and within-scanner variability in MRI data.
- To facilitate the evaluation of MRI harmonization approaches.
Main Methods:
- Utilized a travelling heads paradigm with 20 healthy volunteers.
- Scanned participants across six 3T MRI scanners from three vendors (GE, Philips, Siemens) at five sites.
- Acquired data for five imaging modalities (T1w, T2w, dMRI, rfMRI, SWI) with UK Biobank-aligned protocols, including within-scanner repeats for some participants.
Main Results:
- Generated 165 multi-modal scanning sessions.
- Collected data enabling the mapping of various sources of variability for hundreds of MRI-derived measures.
- The ON-Harmony resource is publicly available for research use.
Conclusions:
- The ON-Harmony resource is a valuable asset for the neuroimaging community.
- It supports the development and validation of MRI harmonization techniques.
- This resource will advance the reproducibility and quantifiability of MRI studies.
More Related Videos
08:36Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
Published on: March 21, 2019
10:06High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
Published on: May 10, 2012