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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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