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Abstract #2622

3D Cones Trajectory with Anisotropic Field-Of-View

Mahender K. Makhijani1, Krishna S. Nayak1

1Electrical Engg., University of Southern California, Los Angeles, CA, USA

The 3D cones trajectory is the most time efficient scheme for sampling a sphere in k-space, and efficient algorithms are available for the design of readout gradients when the imaging field of view (FOV) and spatial resolution is isotropic. There is an opportunity to further optimize the trajectory design when the anatomic FOV is anisotropic. In this work, we present a method for designing 3D cones trajectory with anisotropic FOV (flat-cylinder) and isotropic spatial resolution. We demonstrate 3D carotid imaging with a 73.2% reduction in scan-time compared to isotropic FOV cones, when the FOV along one axis is one fourth of the FOV along the other two axes.