公开(公告)号：US12117508B1

公开(公告)日：2024-10-15

申请号：US18744685

申请日：2024-06-16

申请人： INSTITUTE OF AUTOMATION, CHINESE ACADEMY OF SCIENCES

发明人： Jie Tian ,  Zechen Wei ,  Hui Hui ,  Liwen Zhang ,  Xin Yang ,  Tao Zhu

IPC分类号： G01R33/12 ,  A61B5/0515 ,  G06T11/00

CPC分类号： G01R33/1276 ,  A61B5/0515 ,  G06T11/006 ,  G06T2211/441

摘要： A system for reconstructing a magnetic particle image based on adaptive optimization of regularization terms includes: a MPI device for scanning an imaging object to acquire a voltage response signal; a signal processor for constructing a system matrix; and a control processor for reconstructing the magnetic particle image based on an arbitrarily selected regularization term, inputting the reconstructed magnetic particle image to a regularization-term adaptive optimization neural network model for enhancement processing, taking the enhanced magnetic particle image as a first image, and calculating a loss value between the first image and an initial image to acquire a final reconstructed magnetic particle image. The system adopts a neural network model-based automatic learning approach, instead of the approach of manually selecting regularization terms and adjusting parameters, to improve the reconstruction efficiency and quality of the magnetic particle image.