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Abstract #0424

Multivariate template creation of a myelin water brain atlas with GRASE and mcDESPOT

Adam V. Dvorak1,2, Hanwen Liu1,2, Emil Ljungberg3, Irene M. Vavasour1,4, Lisa Eunyoung Lee5, Alex L. MacKay1,4, Roger Tam4,6, David K.B. Li4, Alex Rauscher4,7, Cornelia Laule2,4, and Shannon H. Kolind1,2,4,5

1Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, 2International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, 3Institute of Psychiatry, Psychology & Neuroscience, King's College, London, United Kingdom, 4Radiology, University of British Columbia, Vancouver, BC, Canada, 5Medicine, University of British Columbia, Vancouver, BC, Canada, 6Chemical and Biological Engineering, University of British Columbia, Vancouver, BC, Canada, 7Pediatrics, University of British Columbia, Vancouver, BC, Canada

Myelin water imaging (MWI) techniques provide metrics with high specificity to myelin content, and benefit greatly from an efficient, standardized method for data interpretation. In this study, high performance diffeomorphic normalisations are used to create a myelin water atlas; statistics related to MWI metrics at each point in a template space. Multivariate template creation methods were used to simultaneously leverage anatomical features from two popular MWI techniques (GRASE and mcDESPOT). The resulting multivariate myelin water atlas can be used in future studies with either technique and provides insight into their differences.

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