公开(公告)号：US20190221011A1

公开(公告)日：2019-07-18

申请号：US16245180

申请日：2019-01-10

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Jong Chul Ye ,  Eun Hee Kang

IPC: G06T11/00 ,  G06T5/00 ,  G06T5/50 ,  G06T5/10

CPC classification number: G06T11/006 ,  G06T5/002 ,  G06T5/10 ,  G06T5/50 ,  G06T11/008 ,  G06T2207/10081 ,  G06T2207/20052 ,  G06T2207/20056 ,  G06T2207/20064 ,  G06T2207/20084 ,  G06T2211/421 ,  G06T2211/424

Abstract: A method for processing an X-ray computed tomography (CT) image using a neural network and an apparatus therefor are provided. An image reconstruction method includes receiving low-dose X-ray CT data, obtaining an initial reconstruction image for the received low-dose X-ray CT data using a predetermined analytic algorithm, and reconstructing a denoised final image using the obtained initial reconstruction image and a previously trained neural network.

公开(公告)号：US11250600B2

公开(公告)日：2022-02-15

申请号：US16245180

申请日：2019-01-10

Applicant: Korea Advanced institute of Science and Technology

Inventor： Jong Chul Ye ,  Eun Hee Kang

IPC: G06K9/00 ,  G06T11/00 ,  G06T5/00 ,  G06T5/50 ,  G06T5/10

Abstract: A method for processing an X-ray computed tomography (CT) image using a neural network and an apparatus therefor are provided. An image reconstruction method includes receiving low-dose X-ray CT data, obtaining an initial reconstruction image for the received low-dose X-ray CT data using a predetermined analytic algorithm, and reconstructing a denoised final image using the obtained initial reconstruction image and a previously trained neural network.

公开(公告)号：US09892527B2

公开(公告)日：2018-02-13

申请号：US14886745

申请日：2015-10-19

Applicant: Korea Advanced Institute of Science and Technology

Inventor： Jong Chul Ye ,  Eun Hee Kang

IPC: G06K9/00 ,  G06T11/00 ,  A61B6/03 ,  A61B6/00

CPC classification number: G06T11/005 ,  A61B6/032 ,  A61B6/5205 ,  A61B6/542 ,  G06T11/006 ,  G06T2211/424

Abstract: Disclosed is a method of reconstructing an image. The method of reconstructing an image includes receiving low dose X-ray computed tomography (CT) data, applying an analytic principle to an optimization approach for low dose imaging to transform the low dose X-ray CT data, and removing a noise included in the low dose X-ray CT data to reconstruct a high-quality image.