Abstract #0424

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

Adam V. Dvorak^1,2, Hanwen Liu^1,2, Emil Ljungberg³, Irene M. Vavasour^1,4, Lisa Eunyoung Lee⁵, Alex L. MacKay^1,4, Roger Tam^4,6, David K.B. Li⁴, Alex Rauscher^4,7, Cornelia Laule^2,4, and Shannon H. Kolind^1,2,4,5

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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