公开(公告)号：US20240041412A1

公开(公告)日：2024-02-08

申请号：US18381214

申请日：2023-10-18

Applicant: RENSSELAER POLYTECHNIC INSTITUTE

Inventor： Huidong Xie ,  Ge Wang ,  Hongming Shan ,  Wenxiang Cong

IPC: A61B6/03 ,  G06T11/00 ,  A61B6/00

CPC classification number: A61B6/032 ,  G06T11/005 ,  G06T11/006 ,  A61B6/5205 ,  G06T2211/421 ,  G06T2211/436

Abstract: A system for few-view computed tomography (CT) image reconstruction is described. The system includes a preprocessing module, a first generator network, and a discriminator network. The preprocessing module is configured to apply a ramp filter to an input sinogram to yield a filtered sinogram. The first generator network is configured to receive the filtered sinogram, to learn a filtered back-projection operation and to provide a first reconstructed image as output. The first reconstructed image corresponds to the input sinogram. The discriminator network is configured to determine whether a received image corresponds to the first reconstructed image or a corresponding ground truth image. The generator network and the discriminator network correspond to a Wasserstein generative adversarial network (WGAN). The WGAN is optimized using an objective function based, at least in part, on a Wasserstein distance and based, at least in part, on a gradient penalty.