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Abstract #5077

A T2 Template Map from a Healthy Cohort to Identify Localized Anomalies in Single Subjects

Tom Hilbert1,2,3, Alexis Roche1,2,3, Cristina Granziera4,5, Guillaume Bonnier5, Kieran O’Brien6,7, Tony Stöcker8, Pavel Falkovskiy1,2,3, Reto Meuli2, Jean-Philippe Thiran2,3, Gunnar Krueger2,3,9, and Tobias Kober1,2,3

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, 4Neuroimmunology Unit, Neurology, Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 5Martinos Center for Biomedical Imaging, Massachusetts General Hospital and Harvard Medical School, Boston, MA, United States, 6Center for Advanced Imaging, the University of Queensland, Brisbane, Australia, 7Siemens Healthcare Pty Ltd, Brisbane, Australia, 8German Center for Neurodegenerative Diseases, Bonn, Germany, 9Siemens Medical Solutions USA, Inc., Boston, MA, United States

We construct a database of normal T2 values by spatially normalizing quantitative maps from healthy subjects into a common space. A low standard deviation across all subjects demonstrates good reproducibility of the T2 values in white matter and deep grey matter. Additionally we adopt a standard voxel-based procedure that compares the quantitative T2 map of a patient to the database and test it on three multiple sclerosis datasets. The obtained z-score maps show that white matter lesions can be detected in the limits of the available resolution and the applied smoothing.

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