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Abstract #0333

HIGHLY ACCELERATED 3D DYNAMIC CONTRAST ENHANCED MRI USING PARTIAL SEPARABILITY MODEL AND JSENSE

Jingyuan Lyu 1 , Pascal Spincemaille 2 , Martin R Prince 2 , Yi Wang 2 , Fuquan Ren 1 , and Leslie Ying 1

1 Department of Biomedical Engineering, Department of Electrical Engineering, The State University of New York at Buffalo, Buffalo, New York, United States, 2 Weill Cornell Medical College, New York, New York, United States

This abstract presents a novel method to effectively integrate spiral acquisition, parallel imaging, partial separable (PS) model, and sparsity constraints for highly accelerated dynamic contrast enhanced MRI. In data acquisition, a phased array coil was used to continuously acquire data along a stack of variable-density spirals updated with the golden angle. In reconstruction, with the sparsity constraints, the coil sensitivities, spatial and temporal bases of the PS model are jointly estimated through alternating optimization. Experimental results from in vivo DCE liver imaging data demonstrate the proposed method is able to achieve both high spatial and temporal resolution.

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