Tobias Kober1, Alexis Roche1, 2, Oscar Esteban3, 4, Subrahmanyam Gorthi4, Delphine Ribes5, Meritxell Bach-Cuadra2, 4, Reto Meuli2, Gunnar Krueger1, 2
1Advanced Clinical Imaging Technology, Siemens Healthcare Sector IM&WS S, Lausanne, Switzerland; 2Centre Hospitalier Universitaire Vaudois and University of Lausanne, Switzerland; 3Biomedical Image Technology (BIT), Universidad Politcnica de Madrid, Madrid, Spain; 4Signal Processing Laboratory (LTS5), cole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland; 5ARTORG Center for Computer Aided Surgery, University of Bern, Switzerland
Typical brain tissue segmentation algorithms use prior knowledge in the form of pre-segmented templates, i.e. atlases. This can lead to erroneous segmentation results if the actual image differs too much from the template, e.g. due to a too big age difference or a disease. In this work, the homogenous T1-contrast of the MP2RAGE sequence is combined with a Dixon water/fat imaging approach. It is shown that a single MP2RAGE-Dixon acquisition provides enough information for reproducible atlas-free brain tissue segmentation.