CODEC: Covariance-driven Parallel Imaging for NonCartesian Sampling Trajectories
James G Pipe 1
Imaging Research, Barrow Neurological
Institute, Phoenix, Arizona, United States
This work presents a new parallel imaging method. It is
a k-space convolution method that is quite independent
of the sampling geometry, and does not require training,
and therefore is quite suitable for nonCartesian
sampling. The method is described, and 2D and 3D
examples are shown.
This abstract and the presentation materials are available to members only;
a login is required.