Abstract #0793

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

Gian Franco Piredda^1,2, Tom Hilbert^1,3,4, Cristina Granziera^5,6, Guillaume Bonnier⁶, Reto Meuli³, Filippo Molinari², Jean-Philippe Thiran^3,4, and Tobias Kober^1,3,4

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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