Abstract #1367

Radial Navigator (radNAV) for Rapid GRE (Turbo-FLASH) Sequence

Zhe Wu¹, Lars Kasper¹, and Kamil Uludag^1,2,3

¹Techna Institute, University Health Network, Toronto, ON, Canada, ²Koerner Scientist in MR Imaging, University Health Network, Toronto, ON, Canada, ³Center for Neuroscience Imaging Research, Institute for Basic Science and Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Korea, Republic of

A radial navigator (radNAV) approach, which is easily implemented with minimal increase in TE/TR and without the need for non-Cartesian gradients or coil sensitivity extrapolation, is proposed. We demonstrate the feasibility of this approach to acquire motion information for image correction in turbo-FLASH sequences.

This abstract and the presentation materials are available to members only; a login is required.

Join Here