Abstract #3243

ComBat scanner harmonization for fixel-based analysis

Remika Mito^1,2, Heath Pardoe¹, Robert Smith¹, Jacques-Donald Tournier^3,4, David Vaughan^1,2,5, Mangor Pedersen⁶, and Graeme Jackson^1,2,5

¹Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, ²Florey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Australia, ³Biomedical Engineering Department, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ⁴Centre for the Developing Brain, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom, ⁵Department of Neurology, Austin Health, Melbourne, Australia, ⁶Auckland University of Technology, Auckland, New Zealand

Synopsis

Keywords: Data Analysis, Diffusion/other diffusion imaging techniques, Data harmonizationDiffusion MRI data are known to be sensitive to scanner and site effects, for which harmonization methods have been developed. However, harmonization methods have not yet been applied to many advanced diffusion imaging metrics. In this work, we apply the ComBat harmonization approach to fixel-based analysis. ComBat successfully minimizes scanner-related differences in fibre density and cross-section, and performs similarly to the inclusion of scanner as a nuisance regressor during whole-brain fixel-based analysis. Importantly, ComBat can now readily be used within the fixel-based framework, which will enable large multi-centre studies to implement this approach in the future.

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