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2.5-D Extended Field-of-View Ultrasound
Huang, Qinghua1,2,3,4; Zeng, Zhaozheng4; Li, Xuelong5; Huang, QH (reprint author), Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China.
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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.

Keyword2.5 Dimensional Imaging Extended Field-of-view Image Cutting Texture Mapping Ultrasound
Subject AreaComputer Science, Interdisciplinary Applications
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
Indexed BySCI ; EI
WOS KeywordFreehand 3-dimensional Ultrasound ; Musculoskeletal Tissues ; System ; Reconstruction ; Sonography ; Visualization ; Segmentation ; Registration ; Scoliosis
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
Funding OrganizationNational 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 SubjectComputer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000428886700003
EI Accession Number20174904492346
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Corresponding AuthorHuang, QH (reprint author), Northwestern Polytech Univ, Sch Elect & Informat, Xian 710072, Shaanxi, Peoples R China.
Affiliation1.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
Recommended Citation
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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