Warrington Shaun, Torchi Andrea, Mougin Olivier, Campbell Jon, Ntata Asante, Craig Martin, Assimopoulos Stephania, Alfaro-Almagro Fidel, Miller Karla L, Jenkinson Mark, Morgan Paul S, Sotiropoulos Stamatios N
Sir Peter Mansfield Imaging Centre, Mental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
Sir Peter Mansfield Imaging Centre, School of Physics, University of Nottingham, Nottingham, UK.
Sci Data. 2025 Apr 11;12(1):609. doi: 10.1038/s41597-025-04822-2.
Despite its great potential for studying the living brain, magnetic resonance imaging (MRI) can be often limited by nuisance non-biological factors, such as hardware/software differences between scanners, which can interfere with biological variability. This lack of standardisation or harmonisation between scanners hinders reproducibility and quantifiability of MRI. Towards addressing this challenge, we present one of the most comprehensive MRI harmonisation resources, based on a travelling heads paradigm; healthy volunteers scanned repeatedly across different scanners. The Oxford-Nottingham Harmonisation (ON-Harmony) resource offers data from 20 participants each scanned on six different 3 T MRI scanners from three major vendors (GE/Philips/Siemens) across five imaging sites. Each scanning session includes five imaging modalities (T1w/T2w/dMRI/rfMRI/SWI) with protocols aligned to the UK Biobank, while for about half of the participants five within-scanner repeats are additionally acquired. The 165 multi-modal scanning sessions allow mapping of different pools of variability (biological, between-scanner, within-scanner) for hundreds of MRI-derived measures. We describe the breadth of information contained in the publicly-available data and showcase their reuse potential for evaluating efficacy of harmonisation approaches.
尽管磁共振成像(MRI)在研究活体大脑方面具有巨大潜力,但它常常受到一些有害的非生物因素的限制,比如不同扫描仪之间的硬件/软件差异,这些差异会干扰生物变异性。扫描仪之间缺乏标准化或一致性阻碍了MRI的可重复性和可量化性。为应对这一挑战,我们基于移动头部范式展示了最全面的MRI一致性资源之一;健康志愿者在不同扫描仪上进行重复扫描。牛津-诺丁汉一致性(ON-Harmony)资源提供了20名参与者的数据,每名参与者在来自三个主要供应商(通用电气/飞利浦/西门子)的六台不同的3T MRI扫描仪上,于五个成像地点进行扫描。每次扫描包括五种成像模态(T1加权/T2加权/扩散加权磁共振成像/静息态功能磁共振成像/磁敏感加权成像),其扫描协议与英国生物银行一致,同时约一半的参与者还额外进行了五次扫描仪内重复扫描。这165次多模态扫描可对数百种MRI衍生测量的不同变异性池(生物性、扫描仪间、扫描仪内)进行映射。我们描述了公开数据中包含的信息广度,并展示了它们在评估一致性方法有效性方面的重用潜力。