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.