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Title:
MEDICAL IMAGE SEGMENTATION BASED ON MIXED CONTEXT CNN MODEL
Document Type and Number:
WIPO Patent Application WO/2021/026962
Kind Code:
A1
Abstract:
An image volume formed by plural anatomical images each having plural image slices of different imaging modalities is segmented by a 2D convolutional neural network (CNN). An individual anatomical image is preprocessed to form a mixed-context image by incorporating selected image slices from two adjacent anatomical images without any estimated image slice. The 2D CNN utilizes side information on multi-modal context and 3D spatial context to enhance segmentation accuracy while avoiding segmentation performance degradation due to artifacts in the estimated image slice. The 2D CNN is realized by a BASKET-NET model having plural levels from a highest level to a lowest level. The number of channels in most multi-channel feature maps of a level decreases monotonically from the highest level to the lowest level, allowing the highest level to be rich in low-level feature details for assisting finer segmentation of the individual anatomical image.

Inventors:
HE XUEJIAN (CN)
WANG LU (CN)
WU XIAOHUA (CN)
Application Number:
PCT/CN2019/102550
Publication Date:
February 18, 2021
Filing Date:
August 26, 2019
Export Citation:
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Assignee:
HONG KONG APPLIED SCIENCE & TECH RESEARCH INST CO LTD (CN)
International Classes:
G06T7/11
Foreign References:
CN108492297A2018-09-04
CN107220980A2017-09-29
CN109978850A2019-07-05
CN109685819A2019-04-26
Other References:
QIHANG YU; YINGDA XIA; LINGXI XIE; ELLIOT K. FISHMAN; ALAN L. YUILLE: "Thickened 2D Networks for Efficient 3D Medical Image Segmentation", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 2 April 2019 (2019-04-02), 201 Olin Library Cornell University Ithaca, NY 14853, XP081538024
GU ZAIWANG; CHENG JUN; FU HUAZHU; ZHOU KANG; HAO HUAYING; ZHAO YITIAN; ZHANG TIANYANG; GAO SHENGHUA; LIU JIANG: "CE-Net: Context Encoder Network for 2D Medical Image Segmentation", IEEE TRANSACTIONS ON MEDICAL IMAGING, IEEE SERVICE CENTER, PISCATAWAY, NJ., US, vol. 38, no. 10, 1 October 2019 (2019-10-01), US, pages 2281 - 2292, XP011748192, ISSN: 0278-0062, DOI: 10.1109/TMI.2019.2903562
Attorney, Agent or Firm:
BEIJING PAT SF INTELLECTUAL PROPERTY AGENCY CO. LTD (CN)
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