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Abstract #2065

High Resolution, Respiratory Motion-Resolved Coronary MRA Using a Reordered Variable-Density 3D Cones Trajectory

Srivathsan P. Koundinyan1, Frank Ong2, Mario O. Malavé1, Bob S. Hu3, and Dwight G. Nishimura1

1Electrical Engineering, Stanford University, Stanford, CA, United States, 2Electrical Engineering and Computer Science, University of California, Berkeley, Berkeley, CA, United States, 3Cardiology, Palo Alto Medical Foundation, Palo Alto, CA, United States

High resolution MR angiography is important to properly visualize fine lesions in coronary arteries. In this work, we employ a time-efficient and motion-robust variable-density 3D cones trajectory for sub-millimeter data acquisition. Although the imaging data is severely undersampled, we capitalize on the diffuse aliasing properties of the non-Cartesian cones trajectory to separate the data into several respiratory phases for motion compensation. For improved image quality, we present and analyze a modified cones reordering strategy, mindful of balanced SSFP imaging and unwanted eddy current effects, for distributed k-space coverage irrespective of how the readouts are retrospectively sorted.

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