Abstract #0468

White matter changes detected based on multi-component MR Fingerprinting in Multiple Sclerosis

Martijn Nagtegaal^1,2, Ingo Hermann^1,3, Sebastian Weingärtner¹, Eloy Martines-Heras⁴, Elisabet Solano⁴, Sare Llufriu⁴, Achim Gass⁵, Dirk H. J. Poot⁶, Matthias J.P. van Osch², Frans M. Vos^1,6, and Jeroen de Bresser⁷

¹Department of Imaging Physics, Delft University of Technology, Delft, Netherlands, ²C.J. Gorter MRI Center, Radiology Department, Leiden University Medical Center, Leiden, Netherlands, ³Computer Assisted Clinical Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, ⁴Neuroimmunology and Multiple Sclerosis Unit and Laboratory of Advanced Imaging in Neuroimmunological Diseases (ImaginEM), Hospital Clinic Barcelona, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain, ⁵Department of Neurology, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany, ⁶Department of Radiology and Nuclear Medicine, Erasmus MC, Rotterdam, Netherlands, ⁷Department of Radiology, Leiden University Medical Center, Leiden, Netherlands

Synopsis

Keywords: Multiple Sclerosis, MR FingerprintingWhite matter hyperintensities are an MRI biomarker of Multiple Sclerosis (MS). However, not all white matter changes are visible on conventional, qualitative MRI. We applied a multi-component MR Fingerprinting protocol to identify potential white matter abnormalities based on increased $$$T_2^*$$$-values. FLAIR and MRF scans were performed in 44 MS patients and 12 healthy control subjects. Significant differences were found in the volume of MRF components with 500ms<$$$T_1, T_2^*$$$<2.5s. This volume correlated moderately with white matter damage on structural MR images. The MRF approach identified larger abnormal tissue volumes than those visible on the structural scans.

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