Meeting Banner
Abstract #4002

Rapid Non-Cartesian Regularized SENSE Reconstruction using a Point Spread Function Model

Corey A Baron1, Nicholas Dwork1, John M Pauly1, and Dwight G Nishimura1

1Stanford University, Stanford, CA, United States

Iterative reconstructions of undersampled non-Cartesian data are computationally expensive because non-Cartesian Fourier transforms are much less efficient than Cartesian Fast Fourier Transforms. Here, we introduce an algorithm that does not require non-uniform Fourier transforms during optimization iterations, resulting in large reductions in computation times with no impairment of image quality.

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

Join Here