Automatic 3D Ultrasound Modeling Imaging for Spine Deformity using neural networks
2023-11-07
会议录名称2023 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS)
ISSN1948-5719
发表状态已发表
DOI10.1109/IUS51837.2023.10307104
摘要The 3D ultrasound (US) spine image volumes have been used for the assessment of spine deformity, but can be rebuilt only by manually extracting the feature markers of each vertebra. The objectives of this paper are to automatically extract the feature markers of spine using neural networks for the reconstruction of 3D spine model images and to implement the 3D model image for the proxy Cobb angle measurement. Detection Transformer(Detr) and HR-Net were applied to find location of lamina pair on 2D projected coronal US image of spine. Then 3D coordinates were obtained by selecting the high reflectors to reconstruct 3D spine model. The result showed that the overall MAD and correlation of curvature measurement between 3D US model and radiography were 2.03°and 0.95, which was slightly better than direct measurement from 2D ultrasound images (2.53°and 0.92). The 3D spine model images can be built by automatically extracting coordinate information of key points (lamina centers) using neural networks. © 2023 IEEE.
会议录编者/会议主办者IEEE ; IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC)
关键词3D US imaging Parametric Spine modeling HR-Net Detr
会议名称2023 IEEE International Ultrasonics Symposium, IUS 2023
会议地点Montreal, QC, Canada
会议日期3-8 Sept. 2023
URL查看原文
收录类别EI
语种英语
出版者IEEE Computer Society
EI入藏号20234915175270
EI主题词Image reconstruction
EISSN1948-5727
EI分类号723.2 Data Processing and Image Processing ; 723.5 Computer Applications
原始文献类型Conference article (CA)
来源库IEEE
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/348742
专题信息科学与技术学院
信息科学与技术学院_PI研究组_郑锐组
信息科学与技术学院_硕士生
信息科学与技术学院_本科生
信息科学与技术学院_博士生
通讯作者Zheng, Rui
作者单位
1.First Medical Center of Pla General Hospital, Department of Ultrasound, Beijing, China
2.ShanghaiTech University, School of Information Science and Technology, Shanghai, China
3.Shanghai Engineering Research Center of Energy Efficient and Custom Ai Ic, Shanghai, China
第一作者单位信息科学与技术学院
通讯作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Qian, Liyue,Zhao, Jianhao,Gao, Yuchong,et al. Automatic 3D Ultrasound Modeling Imaging for Spine Deformity using neural networks[C]//IEEE, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC):IEEE Computer Society,2023.
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