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Abstract #0153

Quantitative susceptibility mapping in UK Biobank brain imaging: pipeline and preliminary results in 2400 subjects

Chaoyue Wang1, Stephen M. Smith1, Fidel Alfaro-Almagro1, Cristiana Fiscone2, Richard Bowtell2, Lloyd T. Elliott3, Karla L. Miller1, and Benjamin C. Tendler1
1Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 2Sir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, Nottingham, United Kingdom, 3Department of Statistics and Actuarial Science, Simon Fraser University, Vancouver, BC, Canada

UK Biobank aims to scan 100,000 participants and its brain protocol acquires susceptibility-weighted MRI (swMRI). To date, only the swMRI magnitude data were processed to produce T2* maps. The aim of this work is to develop a robust processing pipeline for QSM using the acquired swMRI phase data. We ran this pipeline on 2408 volunteers and report some preliminary results, including age-dependent curves and genetic associations. Significant correlations were found between susceptibility and age in subcortical structures. QSM discovered replicable genetic associations previously identified in T2*. Our results suggest that there is unique information in susceptibility maps compared to T2*.

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