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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