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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