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10 p, 1.4 MB Urgent challenges in quantification and interpretation of brain grey matter atrophy in individual MS patients using MRI / Amiri, Houshang (Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands) ; de Sitter, Alexandra (Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands) ; Bendfeldt, Kerstin (Medical Image Analysis Center (MIAC AG) Basel, Switzerland) ; Battaglini, Marco (Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy) ; Gandini Wheeler-Kingshott, Claudia A. M. (NMR Research Unit, Department of Neuroinflammation, Queen Square MS Centre, UCL Institute of Neurology, London, UK) ; Calabrese, Massimiliano (Multiple Sclerosis Centre, Neurology Section, Department of Neurosciences, Biomedicine and Movements, University of Verona, Italy) ; Geurts, Jeroen J. G. (Amsterdam UMC. University Medical Center) ; Rocca, Maria A. (Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy) ; Sastre-Garriga, Jaume (Hospital Universitari Vall d'Hebron) ; Enzinger, Christian (Department of Neurology & Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Austria) ; De Stefano, Nicola (Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy) ; Filippi, Massimo (Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy) ; Rovira, Álex (Hospital Universitari Vall d'Hebron) ; Barkhof, Frederik (University College London. Institutes of Neurology & Healthcare Engineering) ; Vrenken, Hugo (Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands) ; Universitat Autònoma de Barcelona
Atrophy of the brain grey matter (GM) is an accepted and important feature of multiple sclerosis (MS). However, its accurate measurement is hampered by various technical, pathological and physiological factors. [...]
2018 - 10.1016/j.nicl.2018.04.023
NeuroImage, Vol. 19 (april 2018) , p. 466-475  
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