公开(公告)号：US20170169563A1

公开(公告)日：2017-06-15

申请号：US14965918

申请日：2015-12-11

Applicant: Macau University of Science and Technology

Inventor： Yong LIANG ,  Liang-Yong XIA ,  Xu-Xin LIN ,  Xiao-Ying LIU ,  Kuok-Fan CHAN

IPC: G06T7/00 ,  A61B5/055 ,  G06K9/52 ,  H04N19/85 ,  G06T11/00 ,  G06K9/62

CPC classification number: A61B5/055 ,  A61B5/0044 ,  A61B5/0263 ,  G01R33/5608 ,  G01R33/5611 ,  G01R33/56308 ,  G01R33/56366 ,  H04N19/59 ,  H04N19/85

Abstract: A method for determining a background component and a dynamic component of an image frame from an under-sampled data sequence obtained in a dynamic MRI application is provided. The two components are determined by optimizing a low-rank component and a sparse component of the image frame in a sense of minimizing a weighted sum of terms. The terms include a Schattenp=1/2 (S1/2-norm) of the low-rank component, an L1/2-norm of the sparse component additionally sparsified by a sparsifying transform, and an L2-norm of a difference between the sensed data sequence and a reconstructed data sequence. The reconstructed one is obtained by sub-sampling the image frame according to an encoding or acquiring operation. The background and dynamic components are the low-rank and sparse components, respectively. Experimental results demonstrate that the method outperforms an existing technique that minimizes a nuclear-norm of the low-rank component and an L1-norm of the sparse component.