Abstract #5077

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

Tom Hilbert^1,2,3, Alexis Roche^1,2,3, Cristina Granziera^4,5, Guillaume Bonnier⁵, Kieran O’Brien^6,7, Tony Stöcker⁸, Pavel Falkovskiy^1,2,3, Reto Meuli², Jean-Philippe Thiran^2,3, Gunnar Krueger^2,3,9, and Tobias Kober^1,2,3

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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