Abstract #5149

MAVRIC SL Compressed Sensing STIR Imaging using a Total Generalized Variation (TGV) Reconstruction

Suryanarayanan Sivaram Kaushik¹, Graeme McKinnon¹, Matthew Koff², Hollis Potter², and Kevin Koch³

¹MR Applications and Workflow, GE Healthcare, Waukesha, WI, United States, ²Hospital for Special Surgery, New York City, NY, United States, ³Medical College of Wisconsin, Milwaukee, WI, United States

3D Multi-spectral imaging sequences like MAVRIC SL have been used overcome susceptibility artifacts caused by metallic hardware. Several studies have attempted to reduce long scan times by using parallel imaging and compressed sensing, but PD images are commonly displayed with evident blurring. MAVRIC STIR images, due to their sparseness, may be more amenable to compressed sensing acceleration. The current work focuses on accelerating MAVRIC SL STIR images using compressed sensing and a total generalized variation reconstruction (TGV).

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