2.5-D Extended Field-of-View Ultrasound | |
Huang, Qinghua1,2,3,4; Zeng, Zhaozheng4; Li, Xuelong5![]() | |
作者部门 | 光学影像学习与分析中心 |
2018-04-01 | |
发表期刊 | IEEE TRANSACTIONS ON MEDICAL IMAGING
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ISSN | 0278-0062 |
卷号 | 37期号:4页码:851-859 |
产权排序 | 5 |
摘要 | Recently, the growing emphasis on medical ultrasound (US) has led to a rapid development of US extended field-of-view (EFOV) techniques. US EFOV techniques can be classified into three categories: 2-D US EFOV, 3-D US, and 3-D US EFOV. In this paper, we propose a novel EFOV method called 2.5-D US EFOV that combines both the advantages of the 2-D US EFOV and the 3-D US by generating a panorama on a curved image plane guided by a curved scanning trajectory of the US probe. In 2.5-D US EFOV, the real-time position and orientation of the US image plane can be recorded via an electromagnetic spatial sensor attached to the probe. The scanning direction is not necessarily straight and can be curved according to the regions of interest (ROI). To form the curved panorama, an image cutting method is proposed. Finally, the curved panorama is rendered in a 3-D space using a surface rendering based on a texture mapping technique. This allows 3-D measurements of lines and angles. Phantom experiments demonstrated that 2.5-DUS EFOV images could show anatomical structures of ROI accurately and rapidly. The overall average errors for the distance and angle measurements are -0.097 +/- 0.128 cm (-1% +/- 1.2%) and 1.50 degrees +/- 1.60 degrees (1.9% +/- 2%), respectively. A typical extended US image can be reconstructed from 321 B-scans images within 3 s. The satisfying quantitative result on the spinal tissues of a scoliosis subject demonstrates that our system has potential applications in the assessment of musculoskeletal issues. |
文章类型 | Article |
关键词 | 2.5 Dimensional Imaging Extended Field-of-view Image Cutting Texture Mapping Ultrasound |
学科领域 | Computer Science, Interdisciplinary Applications |
WOS标题词 | Science & Technology ; Technology ; Life Sciences & Biomedicine |
DOI | 10.1109/TMI.2017.2776971 |
收录类别 | SCI ; EI |
关键词[WOS] | Freehand 3-dimensional Ultrasound ; Musculoskeletal Tissues ; System ; Reconstruction ; Sonography ; Visualization ; Segmentation ; Registration ; Scoliosis |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
项目资助者 | National Natural Science Foundation of China(61372007 ; Natural Science Foundation of Guangdong, China(2017A030312006) ; Guangzhou Key Lab of Body Data Science(201605030011) ; Science and Technology Program of Guangzhou(201704020134) ; Project of Science and Technology, Department of Guangdong province(2014A050503020 ; 61571193) ; 2016A010101021 ; 2016A010101022 ; 2016A010101023) |
WOS类目 | Computer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging |
WOS记录号 | WOS:000428886700003 |
EI入藏号 | 20174904492346 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/30056 |
专题 | 光谱成像技术研究室 |
通讯作者 | Huang, QH (reprint author), Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China. |
作者单位 | 1.Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China 2.Northwestern Polytech Univ, Ctr Opt Imagery Anal & Learning, Xian 710072, Shaanxi, Peoples R China 3.Shenzhen Univ, Coll Informat Engn, Shenzhen 518060, Peoples R China 4.South China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510641, Guangdong, Peoples R China 5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Huang, Qinghua,Zeng, Zhaozheng,Li, Xuelong,et al. 2.5-D Extended Field-of-View Ultrasound[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2018,37(4):851-859. |
APA | Huang, Qinghua,Zeng, Zhaozheng,Li, Xuelong,&Huang, QH .(2018).2.5-D Extended Field-of-View Ultrasound.IEEE TRANSACTIONS ON MEDICAL IMAGING,37(4),851-859. |
MLA | Huang, Qinghua,et al."2.5-D Extended Field-of-View Ultrasound".IEEE TRANSACTIONS ON MEDICAL IMAGING 37.4(2018):851-859. |
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