Wireless and sensorless 3D ultrasound imaging
文献类型：期刊论文
| 作者 | Gao, Haitao1,2; Huang, Qinghua1,2; Xu, Xiangmin1; Li, Xuelong3
|
| 刊名 | neurocomputing
 |
| 出版日期 | 2016-06-26 |
| 卷号 | 195页码:159-171 |
| 关键词 | 3-D ultrasound Wireless communication Sensorless volume reconstruction Speckle decorrelation |
| ISSN号 | 0925-2312 |
| 产权排序 | 3 |
| 英文摘要 | 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. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | freehand 3-d ultrasound ; medical ultrasound ; musculoskeletal tissues ; speckle decorrelation ; classification ; segmentation ; regression ; system ; reconstruction ; arrays |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000376711800022 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/28149]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。