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Abstract #0081

K-T Radial SPARSE-SENSE: Combination of Compressed Sensing & Parallel Imaging with Golden Angle Radial Sampling for Highly Accelerated Volumetric Dynamic MRI

Li Feng1, 2, Hersh Chandarana1, Jian Xu3, Kai Tobias Block1, Daniel Sodickson1, Ricardo Otazo1

1Radiology, New York University School of Medicine, New York, United States; 2Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, United States; 3Siemens Medical Solutions, New York, United States

Radial k-space sampling is a good candidate for compressed sensing due to the inherent incoherent aliasing artifacts. For dynamic applications, the incoherence can be further increased by using the golden-angle approach, which completely avoids acquisition of replicate radial lines. Moreover, the golden-angle approach allows for reconstruction of arbitrary time points with arbitrary temporal resolution. In this study, we propose a joint non-Cartesian image-reconstruction technique that combines compressed sensing and parallel imaging for accelerating volumetric dynamic MRI with stack-of-stars golden-angle radial trajectories. The performance of this technique is demonstrated for highly accelerated 3D free breathing liver perfusion imaging

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Keywords

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