Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
363-01-004 ISMRM Abstract

Multi-Stage Harmonization for Diffusion MRI: Signal and Statistical Correction in CamCAN Traveling Heads

Primary: Diffusion - Diffusion Analysis & Visualization
Secondary: Neuro - White Matter
363-01-004 · Neurological Application of Advanced Diffusion and Quantitative MRI · Monday, 11 May, 8:20 AM–9:15 AM · Digital Posters Row D
Accepted
Tanvi Rao 1
1Medical Research Council Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, United Kingdom
Presenting Author: Tanvi Rao

Synopsis

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References

1. Shafto MA, Tyler LK, Dixon M, et al. The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing. BMC Neurol. 2014;14:204. doi:10.1186/s12883-014-0204-1. PMID: 25516204. [doi] [pmid]
2. Fortin JP, Parker D, Tunç B, et al. Harmonization of cortical thickness measurements across scanners and sites. NeuroImage. 2018;167:104–120. doi:10.1016/j.neuroimage.2017.11.024. PMID: 29155184. [doi] [pmid]
3. Mirzaalian H, Ning L, Savadjiev P, et al. Multi-site harmonization of diffusion MRI data in a registration framework. Brain Imaging Behav. 2018;12:284–295. doi:10.1007/s11682-016-9670-y. PMID: 28176263. [doi] [pmid]
4. Mirzaalian H, de Pierrefeu A, Savadjiev P, et al. Harmonizing diffusion MRI data across multiple sites and scanners. Med Image Comput Comput Assist Interv. 2015;9349:12–19. doi:10.1007/978-3-319-24553-9_2. PMID: 27754499. [doi] [pmid]
5. Forsyth JK, McEwen SC, Gee DG, et al. Reliability of functional magnetic resonance imaging activation during working memory in a multi-site study: analysis from the North American Prodrome Longitudinal Study. NeuroImage. 2014;97:41–52. doi:10.1016/j.neuroimage.2014.04.027. PMID: 24736173. [doi] [pmid]
6. Veraart J, Novikov DS, Christiaens D, et al. Denoising of diffusion MRI using random matrix theory. NeuroImage. 2016;142:394–406. doi:10.1016/j.neuroimage.2016.08.016. PMID: 27523449. [doi] [pmid]
7. Leemans A, Jones DK. The B-matrix must be rotated when correcting for subject motion in DTI data. Magn Reson Med. 2009;61:1336–1349. doi:10.1002/mrm.21890. PMID: 19319973. [doi] [pmid]
8. Tax CMW, Grussu F, Kaden E, et al. Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. NeuroImage. 2019;195:285–299. doi:10.1016/j.neuroimage.2019.01.077. PMID: 30731236. [doi] [pmid]
9. Jensen JH, Helpern JA. MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR Biomed. 2010;23:698–710. doi:10.1002/nbm.1518. PMID: 20632416. [doi] [pmid]
10. Warrington S, Torchi A, Mougin O, et al. A multi-site, multi-modal travelling-heads resource for brain MRI harmonisation. Sci Data. 2025;12:609. doi:10.1038/s41597-025-04822-2. PMID: 40216796. [doi] [pmid]

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/363-01-004