| Wireless and sensorless 3D ultrasound imaging | |
Gao, Haitao1,2; Huang, Qinghua1,2; Xu, Xiangmin1; Li, Xuelong3
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| 作者部门 | 光学影像学习与分析中心 |
| 2016-06-26 | |
| 发表期刊 | NEUROCOMPUTING
 |
| ISSN | 0925-2312 |
| 卷号 | 195页码:159-171 |
| 产权排序 | 3 |
| 摘要 | The past decade has witnessed great advances in three-dimensional (3-D) medical ultrasound (US) imaging instrumentation. An increasing demand for portable 3-D US equipment is one of the main trends upcoming in the market. In this study, we developed a low cost, portable, sensorless and wireless 3-D US imaging system. A laptop US scanner with a conventional linear probe and a convex probe was used to acquire 2-D US B-scans. A client program was developed and run on the US scanner for capturing the pictures of screen during a freehand scanning without a positional sensor, and then the JPEG compression was applied to the pictures for reducing the image data size. The image data was sent to a remote workstation in real-time through Wi-Fi connection. A neural network model was used to recognize the characters (e.g. imaging depth and probe model information) displayed on the screen of the US scanner. The server on the remote workstation communicated with the US scanner, received raw image data, and finally reconstructed 3-D US images. The positions of the B-scans were obtained by estimating the spacings of B-scan image sequence, which was learned by measuring adaptive speckle decorrelation curves in mechanically collected B-scan frames. The performance of the proposed system has been demonstrated through experiments conducted on a US resolution phantom in vitro as well as human tissues in vivo. (C) 2016 Elsevier B.V. All rights reserved. |
| 文章类型 | Article |
| 关键词 | 3-d Ultrasound Wireless Communication Sensorless Volume Reconstruction Speckle Decorrelation |
| WOS标题词 | Science & Technology ; Technology |
| DOI | 10.1016/j.neucom.2015.08.109 |
| 收录类别 | SCI ; EI |
| 关键词[WOS] | FREEHAND 3-D ULTRASOUND ; MEDICAL ULTRASOUND ; MUSCULOSKELETAL TISSUES ; SPECKLE DECORRELATION ; CLASSIFICATION ; SEGMENTATION ; REGRESSION ; SYSTEM ; RECONSTRUCTION ; ARRAYS |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| 项目资助者 | National Natural Science Foundation of China(61372007 ; International Cooperation Project of Science and Technology of Guangdong Province(2014A050503020) ; Projects of Innovative Science and Technology, Department of Education, Guangdong Province(2013KJCX0012) ; Natural Science Foundation of Hubei Province(2015CFA025) ; Key Research Program of the Chinese Academy of Sciences(KGZD-EW-T03) ; 61571193) |
| WOS类目 | Computer Science, Artificial Intelligence |
| WOS记录号 | WOS:000376711800022 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.opt.ac.cn/handle/181661/28149 |
| 专题 | 光谱成像技术研究室 |
| 作者单位 | 1.S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China 2.China Three Gorges Univ, Hubei Key Lab Intelligent Vis Based Monitoring Hy, Yichang 443002, Peoples R China 3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Haitao,Huang, Qinghua,Xu, Xiangmin,et al. Wireless and sensorless 3D ultrasound imaging[J]. NEUROCOMPUTING,2016,195:159-171. |
| APA | Gao, Haitao,Huang, Qinghua,Xu, Xiangmin,&Li, Xuelong.(2016).Wireless and sensorless 3D ultrasound imaging.NEUROCOMPUTING,195,159-171. |
| MLA | Gao, Haitao,et al."Wireless and sensorless 3D ultrasound imaging".NEUROCOMPUTING 195(2016):159-171. |
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| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Wireless and sensorl（4428KB） | 期刊论文 | 作者接受稿 | 限制开放 | CC BY-NC-SA | 请求全文 | |
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