公开(公告)号：US11085986B2

公开(公告)日：2021-08-10

申请号：US16549500

申请日：2019-08-23

Applicant: Korea Advanced Institute of Science and Technology

Inventor： JongChul Ye ,  Ju Young Lee

IPC: G01V3/00 ,  G01R33/565 ,  G01R33/56 ,  G06N3/08 ,  G01R33/561

Abstract: Disclosed herein are a method and an apparatus for removing ghost artifacts of an echo planner image using a neural network. An image processing method according to an embodiment of the inventive concept includes receiving Fourier space data of an echo planar image, and restoring the echo planar image in which ghost artifacts are removed using a neural network. The receiving of the Fourier space data may include dividing the Fourier space data into the odd-numbered Fourier space data and even-numbered Fourier space data, and the restoring of the echo planar image may include obtaining the odd-numbered Fourier space data and even-numbered Fourier space data with the Fourier space interpolated using the neural network and restoring the echo planar image in which the ghost artifacts are removed based on the odd-numbered Fourier space data and even-numbered Fourier space data with the Fourier space interpolated.

公开(公告)号：US10977842B2

公开(公告)日：2021-04-13

申请号：US16431575

申请日：2019-06-04

Applicant: Korea Advanced Institute of Science and Technology

Inventor： JongChul Ye ,  Yoseob Han

IPC: G06T11/00 ,  G06T5/00 ,  G06N3/04 ,  G06N3/08 ,  G01N23/10 ,  G01N23/083 ,  G01N23/046

Abstract: A method for processing a multi-directional X-ray computed tomography (CT) image using a neural network and an apparatus therefor are provided. The method includes receiving a predetermined number of multi-directional X-ray CT data and reconstructing an image for the multi-directional X-ray CT data using a neural network learned in each of an image domain and a sinogram domain.

公开(公告)号：US20200027252A1

公开(公告)日：2020-01-23

申请号：US16431575

申请日：2019-06-04

Applicant: Korea Advanced Institute of Science and Technology

Inventor： JongChul Ye ,  Yoseob Han

IPC: G06T11/00 ,  G06T5/00 ,  G06N3/04 ,  G06N3/08 ,  G01N23/10 ,  G01N23/046 ,  G01N23/083

Abstract: A method for processing a multi-directional X-ray computed tomography (CT) image using a neural network and an apparatus therefor are provided. The method includes receiving a predetermined number of multi-directional X-ray CT data and reconstructing an image for the multi-directional X-ray CT data using a neural network learned in each of an image domain and a sinogram domain.