Abstract #4309

Mapping Myelin Volume Fraction using Multiple Echo Gradient Echo and Dictionary Matching

Mert Şişman^1,2, Dominick J. Romano^2,3, Alexey V. Dimov², Ilhami Kovanlikaya², Pascal Spincemaille², Thanh D. Nguyen², and Yi Wang^2,3

¹Electrical and Computer Engineering, Cornell University, Ithaca, NY, United States, ²Department of Radiology, Weill Cornell Medicine, New York, NY, United States, ³Biomedical Engineering, Cornell University, Ithaca, NY, United States

Synopsis

Keywords: Microstructure, White MatterMyelin Volume Fraction (MVF) is an important biomarker of demyelination various diseases Multiple Sclerosis. In this study, we propose a method that provides quantitative MVF maps from routine multiple echo gradient echo acquisitions and dictionary matching. The dictionary is generated using the Hollow Cylindrical Fiber Model (HCFM) and employs both the magnitude signal decay and QSM obtained from the mGRE phase. The obtained maps show both qualitative and quantitative superiority over the standard multiexponential fitting-based myelin water fraction (MWF) maps.

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