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Abstract #1050

Optimised Co-Registration of Multi-Contrast Spinal Cord Data and Application to Multi-Parameter Mapping

Rebecca S. Samson1, Laura Brightman2, Olga Ciccarelli3, Carolina Kachramanoglou3, Antoine Lutti4, David J L Thomas, Nikolaus Weiskopf4, Claudia A M Wheeler-Kingshott1

1NMR Research Unit, Department of Neuroinflammation, UCL Institute of Neurology, London, England, United Kingdom; 2University of Cambridge, Cambridge, United Kingdom; 3NMR Research Unit, Department of Brain Repair and Rehabilitation, UCL Institute of Neurology, London, England, United Kingdom; 4Wellcome Trust Centre for Neuroimaging, UCL Institute of Neurology, London, England, United Kingdom Quantitative MRI techniques have been shown to be sensitive to changes in diseased spinal cord via measurements of relaxation times, the Magnetisation Transfer Ratio (MTR), and more recently quantitative Magnetisation Transfer (MT) parameters. However, in order to make tissue-specific quantitative measurements within the cord a robust co-registration is required. We investigated various linear registration methods within the FSL software package for co-registration of multi-modal cervical cord MRI data and the optimum method was used to register multi-modal spinal cord data, thus allowing the estimation of multi-parameter map values in white and grey matter regions within the cord.