公开(公告)号：US20210027430A1

公开(公告)日：2021-01-28

申请号：US16897768

申请日：2020-06-10

Applicant: Hitachi, Ltd.

Inventor： Mariko YAMAMOTO ,  Keisuke YAMAKAWA ,  Isao TAKAHASHI ,  Taiga GOTOU ,  Hisashi TAKAHASHI

IPC: G06T5/00 ,  G06T7/00

Abstract: Noise is reduced for a medical image for which noise cannot be quantified by a general-purpose image quality evaluation index. An image processor has a preprocessor that generates input images including an original image and one or more images with reduced noise compared with the original image; and a noise reduction processor outputs an image, which is obtained by reducing noise from the original image based on the input images, by applying a learned network. The learned network used in the noise reduction processor is constructed by performing deep learning using a plurality of learning sets in which one or more of a medical image including noise, a noise-reduced image obtained by performing noise reduction processing on the medical image, and an intermediate image obtained during the noise reduction processing are input images and a correct image is obtained based on the input images an output image.