Efficient L1SPIRiT Reconstruction (ESPIRiT) for Highly Accelerated 3D Volumetric MRI with Parallel Imaging and Compressed Sensing

Exploiting Sparsity in the Difference Images to Achieve Higher Acceleration Factors in Non-Contrast MRA

Fast MR Parameter Mapping from Highly Undersampled Data by Direct Reconstruction of Principal Component Coefficient Maps Using Compressed Sensing

Interleaved Variable Density Sampling with ARC Parallel Imaging and Cartesian HYPR for Dynamic MR Angiography

Nonconvex Compressive Sensing with Parallel Imaging for Highly Accelerated 4D CE-MRA