Lattice Sampling of k-Space for Parallel Imaging
Justin P. Haldar, Leslie L. Ying · 2005
Reconstruction of non-Cartesian SENSitivity-Encoded (SENSE) data often involves solving a large system of equations for the amplitudes of the voxel functions used to model the desired image function [1]. While solving this system has been made faster by utilizing Conjugate Gradient (CG) methods and by clever use of the Fast Fourier Transform (FFT) to implement some of the matrix multiplications, the reconstruction is still too slow for routine clinical applications. This paper proposes a class of