公开(公告)号：US11380026B2

公开(公告)日：2022-07-05

申请号：US16866668

申请日：2020-05-05

Applicant: GE Precision Healthcare LLC

Inventor： Xueli Wang ,  Bingjie Zhao ,  Shiyu Li ,  Dan Liu

IPC: G06T11/00

Abstract: The present application provides a method and device for obtaining a predicted image of a truncated portion, an imaging method and system, and a non-transitory computer-readable storage medium. The method for obtaining a predicted image of a truncated portion comprises preprocessing projection data to obtain, by reconstruction, an initial image of the truncated portion; and calibrating the initial image based on a trained learning network to obtain the predicted image of the truncated portion.

公开(公告)号：US10705170B1

公开(公告)日：2020-07-07

申请号：US16277922

申请日：2019-02-15

Applicant: GE Precision Healthcare LLC

Inventor： Dan Wu ,  Shiyu Li ,  Qingyu Dai ,  Kun Wang ,  Jiabin Yao ,  Yongchuan Lai

IPC: G01V3/00 ,  G01R33/56 ,  G06T11/00 ,  G01R33/385 ,  G06T5/00

Abstract: Spike noise in a k-space dataset acquired in magnetic resonance imaging may be removed by generating a mask including a set of data points which constitute spike noise in the k-space dataset based on the acquired k-space dataset via a trained deep learning network, the mask corresponding to a location of the spike noise in the acquired k-space dataset. An image reconstructed based on the acquired k-space dataset and the mask may be displayed.