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Abstract #2474

Concentration maps improve detection of gray matter alteration in cerebellum and deep gray matter structures

Guillaume Bonnier 1,2 , Jean-Philippe Thiran 2 , Gunnar Krueger 1,2 , Tobias Kober 1,2 , Bndicte Mortamet 1,2 , Cristina Granziera 1,3 , and Alexis Roche 1,2

1 Siemens ACIT CHUV Radiology, Siemens Healthcare IM BM PI & Department of Radiology CHUV, Lausanne, Vaud, Switzerland, 2 LTS5, cole Polytechnique Fdrale de Lausanne, Lausanne, Vaud, Switzerland, 3 Department of Clinical Neurosciences, Laboratoire de recherche en neuroimagerie and Neuroimmunology Unit, Lausanne, Vaud, Switzerland

Gray-matter (GM) segmentation in brain MRI is challenged by the presence of more than one tissue type in a voxel, an effect known as partial volume. This problem is particularly evident in regions such as the lateral part of the central nuclei (CN) or in the cerebellum. In this study, we used GM concentration maps showing good qualitative results compared with histological data to improve GM segmentation and quantitative analysis in the CN and cerebellum. Our results showed that GM analysis using concentration maps has higher sensitivity than binary masks to detect T1 changes.

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