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.
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