Abstract #4349
Exploration of advanced MR imaging contrasts for automated detection of white matter and cortical lesions in early-stages of multiple sclerosis
Mrio Joo Fartaria de Oliveira 1,2 , Guillaume Bonnier 1,3 , Alexis Roche 1,3 , Tobias Kober 1,3 , Reto Meuli 4 , David Rotzinger 4 , Myriam Schluep 2 , Renaud Du Pasquier 2 , Jean-Philippe Thiran 3,4 , Gunnar Krueger 1,3 , Cristina Granziera 1,2 , and Meritxell Bach Cuadra 4,5
1
Advanced Clinical Imaging Technology,
Siemens Healtcare IM BM PI & Department of Radiology,
Centre Hospitalier Universitaire Vaudois and University
of Lausanne (CHUV), Lausanne, Switzerland,
2
Neuro-immunology
Unit and Laboratoire de Recherch en Neuroimagrie (LREN),
Neurology Division, Centre Hospitalier Universitaire
Vaudois and University of Lausanne (CHUV), Lausanne,
Switzerland,
3
Signal
Processing Laboratory, LTS5, cole Polytechnique
Fdrale de Lausanne, Lausanne, Switzerland,
4
Department
of Radiology, Centre Hospitalier Universitaire Vaudois
and University of Lausanne (CHUV), Lausanne,
Switzerland,
5
Signal Processing Core, Centre
d'Imagerie BioMdicale (CIBM), Lausanne, Switzerland
Advanced Magnetic Resonance Imaging (MRI) plays an
important role for lesion visualization in Multiple
Sclerosis (MS). This work aims to study the contribution
of advanced MRI on the performance of an automated tool
for lesion detection. The method is based on a
supervised approach and the impact on detection
performance of different advanced MRI sequences was
evaluated through different combinations of features in
the classification process. The validation was done in a
cohort of thirty-nine early MS patients through a ground
truth obtained from manual segmentations by a
neurologist and a radiologist.
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