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| A signal-domain method to reconstruct object’s boundary for 3D ultrasound computed tomography | |
| 2023-09-08 | |
| 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/IUS51837.2023.10307777 |
| 摘要 | 3D Ultrasound Computed Tomography (USCT) is inherently computationally intensive, primarily because a large imaging volume including the object (e.g., human breast) and coupling medium needs to be reconstructed. Knowing the boundary of the object prior to image reconstruction could aid in reducing the required computational resources. In this work, we propose a signal-domain object segmentation method to retrieve the 3D boundary of the object prior to image reconstruction. Using the experimental data of a phantom, the performance of the reconstruction algorithm is evaluated. © 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 Ultrasound Computed Tomography 3D boundary reconstruction |
| 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 | 20234915174950 |
| EI主题词 | Image reconstruction |
| EISSN | 1948-5727 |
| EI分类号 | 461.1 Biomedical Engineering ; 723.5 Computer Applications ; 746 Imaging Techniques ; 753.1 Ultrasonic Waves |
| 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/348723 |
| 专题 | 信息科学与技术学院 信息科学与技术学院_硕士生 信息科学与技术学院_博士生 信息科学与技术学院_PI研究组_蔡夕然组 |
| 通讯作者 | Cai, Xiran |
| 作者单位 | ShanghaiTech University, School of Information Science and Technology, 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 | Liang, Teng,Jin, Gaofei,Zeng, Yi,et al. A signal-domain method to reconstruct object’s boundary for 3D ultrasound computed tomography[C]//IEEE, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC):IEEE Computer Society,2023. |
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