公开(公告)号：US20230152400A1

公开(公告)日：2023-05-18

申请号：US17992868

申请日：2022-11-22

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY CHINESE ACADEMY OF SCIENCES

Inventor： HAIRONG ZHENG ,  QIAOYAN CHEN ,  YE LI ,  CHAO LUO ,  XIN LIU

IPC: G01R33/3875 ,  A61B5/055

CPC classification number: G01R33/3875 ,  A61B5/055

Abstract: A shimming method and device, an electronic device, and a storage medium are disclosed. The shimming method includes: obtaining object static magnetic field distribution information corresponding to a target object, the object static magnetic field distribution information including the static magnetic field distribution information of the target object under the action of a main magnet of a magnetic resonance system; determining a target static magnetic field based on the object static magnetic field distribution information and a preset shim coil magnetic field distribution model; and adjusting at least one shim coil parameter in the shim coil magnetic field distribution model until a magnetic field uniformity of the target static magnetic field satisfies a preset condition, and accordingly obtaining at least one target shim coil parameter.

公开(公告)号：US20230033666A1

公开(公告)日：2023-02-02

申请号：US17953356

申请日：2022-09-27

Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY

Inventor： HAIRONG ZHENG ,  XIN LIU ,  NA ZHANG ,  ZHANLI HU ,  DONG LIANG ,  YONGFENG YANG ,  QI YANG

IPC: G06T11/00 ,  G06V10/776 ,  G06V10/774 ,  G06V10/77 ,  G06V10/82 ,  G06V10/40 ,  G06V10/764

Abstract: A medical image noise reduction method, system, terminal and storage medium are disclosed. The method includes: obtaining a standard-dose PET image and a. constant-value image; inputting the standard-dose PET image and the constant-value image into a decay function to obtain a corresponding low-dose noisy PET image and a noisy constant-value image, respectively; assembling the low-dose noisy PET image and the noisy constant-value image in a width dimension or a height dimension, and then inputting into a trained conjugate generative adversarial network, and outputting a denoised PET image and constant-value image output by the conjugate generative adversarial network.