Gibran Manasseh1, Mário João Fartaria2,3,4, Tom Hilbert2, Jérémy Deverdun5, Meritxell Bach Cuadra6, Philippe Maeder1, Patric Hagmann1, Tobias Kober2, and Vincent Dunet1
1Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 2Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne; Siemens Healthcare AG; École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 3Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 4Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 5I2FH, Institut d'Imagerie Fonctionnelle Humaine, Montpellier University Hospital Center, Gui de Chauliac Hospital, Montpellier, France, 6Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne; École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Quantitative susceptibility mapping is an
emerging MRI technique that may provide additional information on brain tissue
with potential applications in multiple sclerosis characterization and
monitoring. However, the link between tissue susceptibility and disease evolution
is not well known. This study investigates the relationship between basal
ganglia, thalamus and normal appearing white matter susceptibility and lesion
load, based on a fully automated pipeline for lesion and brain segmentation. Significant
correlations were found between lesion load and susceptibility in putamen,
thalamus, and white matter, presumably due to myelin loss in basal ganglia and
iron loss in normal appearing white matter and thalamus.
