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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)
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ISSN | 1948-5719 |
发表状态 | 已发表 |
DOI | 10.1109/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 |
EISSN | 1948-5727 |
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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