Abstract #3861

Compressed Sensing 3D GRASE with Group-Sparse Reconstruction for Brain Myelin Water Imaging

Henry Szu-Meng Chen¹, Emil Ljungberg², Alex L MacKay^1,3,4, and Piotr Kozlowski^3,5

¹Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, ²Medicine, University of British Columbia, Vancouver, BC, Canada, ³Radiology, University of British Columbia, Vancouver, BC, Canada, ⁴UBC MRI Research Centre, Vancouver, BC, Canada, ⁵UBC MRI Research Centre, Vancouer, BC, Canada

Myelin water fraction (MWF), which reflects myelin content, can be derived from multiple T2 weighted images. In this study, compressed sensing was used to accelerate 3D GRASE myelin water imaging in simulated experiments using a Cartesian undersampling scheme. Group-sparse reconstruction that exploits the correlation between the echoes, and different echo sampling schemes, were tested. Group-sparse reconstruction was found to improve the overall data quality, and identical phase encode undersampling for each echo was found to improve MWF map quality. Using both, MWF map quality remained usable for up to 4x acceleration.

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