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Abstract #0793

Quantitative T1 and T2 Brain Atlases for the Detection of Abnormal Relaxation Times

Gian Franco Piredda1,2, Tom Hilbert1,3,4, Cristina Granziera5,6, Guillaume Bonnier6, Reto Meuli3, Filippo Molinari2, Jean-Philippe Thiran3,4, and Tobias Kober1,3,4

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Biolab - Department of Electronics and Telecommunications, Polytechnic University of Turin, Turin, Italy, 3Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 4LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5Neuroimaging Laboratory and Neurology Department, Basel University Hospital, Basel, Switzerland, 6Department of Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland

This work aims at the detection of abnormal relaxation times in the human brain. To that end, a pipeline for creating normative atlases was established. High-resolution atlases of normative T1 and T2 values were created based on mapping data from 52 healthy subjects. A regression model including gender and age was introduced and z-score maps calculated to compare T1 and T2 maps of a single-subject to the derived norms. Initial results based on multiple sclerosis patient data detect not only lesional tissue but also presumably altered normal-appearing white matter regions.

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