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Abstract #3389

Automated QSM Processing in Multiple Sclerosis

Ashley Stewart1, Po-Jui Liu2,3, Matthias Weigel2,3, Steffen Bollmann1, and Cristina Granziera2,3
1School for Information Technology and Electrical Engineering, The University of Queensland, Brisbane, Australia, 2Translational Imaging in Neurology (ThINk) Basel, Department of Biomedical Engineering, Faculty of Medicing, University Hospital of Basel and University of Basel, Basel, Switzerland, Basel, Switzerland, 3Neurological Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), University Hospital Basel and University of Basel, Basel, Switzerland, Basel, Switzerland

Synopsis

Keywords: Multiple Sclerosis, SusceptibilityIn this work, an automated and scalable processing tool for Quantitative Susceptibility Mapping (QSM), QSMxT, is applied to a large dataset of 3D echo-planar imaging (3D-EPI) acquisitions of Multiple Sclerosis (MS) patients and volunteer controls. This is used to reconstruct QSMs for all subjects and generate a group space for the study. MS lesions are depicted and compared across multiple contrasts, including FLAIR, MP2RAGE, 3D-EPI magnitude and QSM. The group space is used to generate average QSM images for the MS and control groups along with a difference image to investigate iron accumulation and demyelination patterns.

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