Patent ID: 7486839
Filing Date: 2009-02-03
Classification: G01R

Abstract:
1. A method, comprising: acquiring non-rectilinearly sampled k-space data from a set of magnetic resonance (MR) coils having a set of coil sensitivity profiles; distributing the non-rectilinearly sampled k-space data onto a first resealed matrix having a first scaling factor, where the distributing is performed without using a density compensation function (DCF) and without using a singular value decomposition (SVD) regularization parameter adjustment; reconstructing subsets of a first MR image from the first resealed matrix by applying a basic Iterative Next Neighbor Gridding (INNG) process to subsets of the first resealed matrix; selectively zeroing portions of the subsets of the first MR image; building the first MR image from the subsets of the first MR image; placing the first MR image in a second rescaled matrix having a second scaling factor; modifying the non-rectilinearly sampled k-space data into modified k-space data based, at least in part, on the set of coil sensitivity profiles and sensitivity encoding (SENSE); distributing the modified k-space data onto the second rescaled matrix, where the distributing is performed without using a DCF, the second scaling factor being larger than the first scaling factor; reconstructing subsets of a second MR image from the second rescaled matrix by applying the basic INNG process to subsets of the second rescaled matrix; selectively zeroing portions of the subsets of the second MR image; building the second MR image from the subsets of the second MR image; and displaying the second MR image.