公开(公告)号：US10068328B2

公开(公告)日：2018-09-04

申请号：US14978100

申请日：2015-12-22

申请人： Siemens Healthcare GmbH

发明人： Qiu Wang ,  Esther Raithel

IPC分类号： G06T7/00 ,  G06T11/00 ,  A61B5/00 ,  A61B5/055 ,  G01R33/483

摘要： A method for sparse iterative phase correction for Magnetic Resonance (MR) partial Fourier reconstruction includes acquiring a partial Fourier k-space dataset using an MR scanner and estimating, by a control computer, a coil sensitivity map associated with the MR scanner from fully sampled k-space center. The control computer extracts a symmetrically sampled k-space center dataset from the partial Fourier k-space dataset and determines a low-resolution image based on the symmetrically sampled k-space center dataset and the coil sensitivity map. The control computer also determines phase corresponding to the low-resolution image. An iterative reconstruction process may then be applied to generate an image based on the partial Fourier k-space dataset. This iterative reconstruction process applies a Fast Iterative Shrinkage Thresholding Algorithm (FISTA) with phase correction based on the phase corresponding to the low-resolution image.

公开(公告)号：US20170178318A1

公开(公告)日：2017-06-22

申请号：US14978100

申请日：2015-12-22

申请人： Siemens Healthcare GmbH

发明人： Qiu Wang ,  Esther Raithel

IPC分类号： G06T7/00 ,  A61B5/055 ,  A61B5/00 ,  G06T11/00

CPC分类号： G06T7/0012 ,  A61B5/055 ,  A61B5/7257 ,  G01R33/4833 ,  G01R33/561 ,  G01R33/5611 ,  G06T11/008 ,  G06T2207/10088 ,  G06T2207/30004

摘要： A method for sparse iterative phase correction for Magnetic Resonance (MR) partial Fourier reconstruction includes acquiring a partial Fourier k-space dataset using an MR scanner and estimating, by a control computer, a coil sensitivity map associated with the MR scanner from fully sampled k-space center. The control computer extracts a symmetrically sampled k-space center dataset from the partial Fourier k-space dataset and determines a low-resolution image based on the symmetrically sampled k-space center dataset and the coil sensitivity map. The control computer also determines phase corresponding to the low-resolution image. An iterative reconstruction process may then be applied to generate an image based on the partial Fourier k-space dataset. This iterative reconstruction process applies a Fast Iterative Shrinkage Thresholding Algorithm (FISTA) with phase correction based on the phase corresponding to the low-resolution image.