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Abstract #2878

Parallel Imaging Using a 3D Stack-Of-Rings Trajectory

Holden H. Wu1,2, Michael Lustig2,3, Dwight G. Nishimura2

1Cardiovascular Medicine, Stanford University, Stanford, CA, United States; 2Electrical Engineering, Stanford University, Stanford, CA, United States; 3Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA, United States

We present an efficient parallel imaging strategy for the 3D stack-of-rings non-Cartesian trajectory to further enhance its flexible trade-offs between image quality and scan time. Due to its distinct geometry, parallel imaging reconstruction for the 3D stack-of-rings trajectory can be decomposed directly into a series of 2D Cartesian sub-problems, which can be solved very efficiently. Experimental results demonstrate that a 2-fold reduction in scan time can be achieved on top of the 2-fold speedup already offered by the rings (compared to Cartesian encoding). Our approach combines the acceleration from both non-Cartesian sampling and parallel imaging in an efficient and easily deployable algorithm.