Title:
SYSTEMS AND METHODS FOR PROCESSING X-RAY IMAGES
Document Type and Number:
WIPO Patent Application WO/2020/238817
Kind Code:
A1
Abstract:
The present disclosure is related to systems and methods for processing X-ray images. A method for processing an X-ray image includes obtaining an X-ray image (510), and determining a metal image based on the X-ray image by using a trained metal detection model, wherein the metal image includes information of a metal object in the X-ray image (520). A method for processing an X-ray image includes determining a metal image from the X-ray image based on gray values associated with the X-ray image. A method for processing an X-ray image includes determining whether pixels in an initial human body region are target pixels in a target human body region based on a threshold image. And a method for an X-ray image reconstruction includes determining updated projection data based on at least one target bone-tissue thickness combination.
Inventors:
CUI KAI (CN)
JIANG CHUNHUA (CN)
XU LIANG (CN)
ZHAO SHURUI (CN)
ZHONG JIAN (CN)
NIU JIE (CN)
MA YAN'GE (CN)
TENG WANLI (CN)
ZHANG NA (CN)
FENG JUAN (CN)
JIANG CHUNHUA (CN)
XU LIANG (CN)
ZHAO SHURUI (CN)
ZHONG JIAN (CN)
NIU JIE (CN)
MA YAN'GE (CN)
TENG WANLI (CN)
ZHANG NA (CN)
FENG JUAN (CN)
Application Number:
PCT/CN2020/091967
Publication Date:
December 03, 2020
Filing Date:
May 24, 2020
Export Citation:
Assignee:
SHANGHAI UNITED IMAGING HEALTHCARE CO LTD (CN)
International Classes:
G06T7/11; A61B6/00; G06T7/13; G06T7/136; G06T7/155; G06T7/181; G06T7/187
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Other References:
FAUSTO MILLETARI; NAVAB NASSIR; AHMADI SEYED-AHMAD: "V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation", CORR (ARXIV), no. abs/1606.04797v1, 15 June 2016 (2016-06-15), pages 1 - 11, XP055293637
See also references of EP 3958742A4
See also references of EP 3958742A4
Attorney, Agent or Firm:
METIS IP (CHENGDU) LLC (CN)
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