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Wireless and sensorless 3D ultrasound imaging

机译:无线和无传感器3D超声成像

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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.
机译:过去十年见证了三维(3-D)医学超声(US)成像仪器的巨大进步。对便携式3D美国设备的需求不断增长是市场上即将出现的主要趋势之一。在这项研究中,我们开发了一种低成本,便携式,无传感器和无线3-D US成像系统。具有常规线性探针和凸形探针的便携式US扫描仪用于获取二维US B扫描。开发了一个客户端程序,并在US扫描仪上运行该程序,以在没有位置传感器的情况下徒手扫描期间捕获屏幕图像,然后将JPEG压缩应用于图像以减小图像数据大小。图像数据通过Wi-Fi连接实时发送到远程工作站。使用神经网络模型来识别显示在US扫描仪屏幕上的字符(例如成像深度和探头模型信息)。远程工作站上的服务器与US扫描仪进行通信,接收原始图像数据,最后重建3D US图像。 B扫描的位置是通过估计B扫描图像序列的间距来获得的,B扫描图像序列的间距是通过测量机械收集的B扫描帧中的自适应散斑去相关曲线来学习的。拟议系统的性能已通过在体外以美国分辨率的幻像以及体内人体组织进行的实验得到证明。 (C)2016 Elsevier B.V.保留所有权利。

著录项

  • 来源
    《Neurocomputing》 |2016年第26期|159-171|共13页
  • 作者单位

    S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China|China Three Gorges Univ, Hubei Key Lab Intelligent Vis Based Monitoring Hy, Yichang 443002, Peoples R China;

    S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China|China Three Gorges Univ, Hubei Key Lab Intelligent Vis Based Monitoring Hy, Yichang 443002, Peoples R China;

    S China Univ Technol, Sch Elect & Informat Engn, Guangzhou 510640, Guangdong, Peoples R China;

    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;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    3-D ultrasound; Wireless communication; Sensorless volume reconstruction; Speckle decorrelation;

    机译:3-D超声;无线通信;无传感器体积重建;散斑去相关;
  • 入库时间 2022-08-18 02:06:33

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