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Abstract #2624

Fast 3D DCE-MRI with Sparsity and Low-Rank Enhanced SPIRiT (SLR-SPIRiT)

Tao Zhang1, Marcus T. Alley2, Michael Lustig3, Xiaodong Li4, John Pauly1, Shreyas S. Vasanawala2

1Electrical Engineering, Stanford University, Stanford, CA, United States; 2Radiology, Stanford University, Stanford, CA, United States; 3Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA, United States; 4Mathematics, Stanford University, Stanford, CA, United States

Dynamic contrast enhanced MRI is commonly used to detect and characterize lesions. In this work, a method named Sparsity and Low-Rank enhanced SPIRiT (SLR-SPIRiT) is proposed to push the limit of spatial-temporal resolution in 3D DCE MRI. SLR-SPIRiT exploits parallel imaging, transform-sparsity, and locally low-rank property in the dynamic image series to reconstruct highly accelerated DCE datasets. The proposed method has been validated on a pediatric DCE dataset with 1x1x2 mm3 spatial resolution and 3-second temporal resolution (actual acceleration 19.7).