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Title:
METHOD AND APPARATUS FOR SEGMENTING BRAIN WHITE MATTER REGION OF CRANIOCEREBRAL ULTRASOUND IMAGE, AND ELECTRONIC DEVICE
Document Type and Number:
WIPO Patent Application WO/2022/027910
Kind Code:
A1
Abstract:
A method and apparatus for segmenting a brain white matter region of a craniocerebral ultrasound image, and an electronic device. The method comprises: performing filtering and equalization preprocessing on an original input ultrasound image; performing rough segmentation on the preprocessed ultrasound image to obtain a target image that includes a brain white matter region and a non-region of interest; and performing secondary segmentation on a reduced region, and eliminating the non-region of interest to obtain a precisely segmented brain white matter region. A segmentation result can be prevented from being influenced by a region of interest in an ultrasound image having no clear boundary with surroundings, the proportion of a brain white matter region being too low, and there being highlight regions such as choroid plexus.

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Inventors:
ZHANG XIANGNAN (CN)
CHEN ZHIYI (CN)
LIAO JIANYI (CN)
LIANG XIAOWEN (CN)
Application Number:
PCT/CN2020/140244
Publication Date:
February 10, 2022
Filing Date:
December 28, 2020
Export Citation:
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Assignee:
SHENZHEN INST OF ADV TECH CAS (CN)
International Classes:
G06T7/11
Foreign References:
CN111951279A2020-11-17
CN111105421A2020-05-05
CN110910396A2020-03-24
US20150023556A12015-01-22
Other References:
MENG WANG; KAI YU; WEIFANG ZHU; FEI SHI; XINJIAN CHEN: "Multi-Strategy Deep Learning Method for Glaucoma Screening on Fundus Image", INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE: IOVS, vol. 60, no. 9, 28 April 2019 (2019-04-28), US , pages 6148, XP009533830, ISSN: 0146-0404
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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