Development of a Wireless and Near Real-Time 3D Ultrasound Strain Imaging System

IF 3.8 2区医学 Q2 ENGINEERING, BIOMEDICAL

IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2016-04-01 DOI:10.1109/TBCAS.2015.2420117

Zhaohong Chen, Yongdong Chen, Qinghua Huang

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引用次数: 40

Abstract

Ultrasound elastography is an important medical imaging tool for characterization of lesions. In this paper, we present a wireless and near real-time 3D ultrasound strain imaging system. It uses a 3D translating device to control a commercial linear ultrasound transducer to collect pre-compression and post-compression radio-frequency (RF) echo signal frames. The RF frames are wirelessly transferred to a high-performance server via a local area network (LAN). A dynamic programming strain estimation algorithm is implemented with the compute unified device architecture (CUDA) on the graphic processing unit (GPU) in the server to calculate the strain image after receiving a pre-compression RF frame and a post-compression RF frame at the same position. Each strain image is inserted into a strain volume which can be rendered in near real-time. We take full advantage of the translating device to precisely control the probe movement and compression. The GPU-based parallel computing techniques are designed to reduce the computation time. Phantom and in vivo experimental results demonstrate that our system can generate strain volumes with good quality and display an incrementally reconstructed volume image in near real-time.

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无线近实时三维超声应变成像系统的研制

超声弹性成像是表征病变的重要医学成像工具。本文提出了一种无线、近实时的三维超声应变成像系统。它使用3D转换装置来控制商用线性超声换能器来收集预压缩和后压缩射频(RF)回波信号帧。射频帧通过局域网(LAN)无线传输到高性能服务器。利用服务器图形处理单元(GPU)上的CUDA (compute unified device architecture)实现动态规划应变估计算法，计算接收到同一位置的预压缩射频帧和压缩后射频帧后的应变图像。每个应变图像被插入到一个应变体中，该应变体可以近乎实时地呈现。我们充分利用平移装置来精确控制探针的运动和压缩。基于gpu的并行计算技术旨在减少计算时间。仿真和体内实验结果表明，该系统可以生成高质量的应变体，并能近实时地显示增量重构的体图像。

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来源期刊

IEEE Transactions on Biomedical Circuits and Systems 工程技术-工程：电子与电气

CiteScore

10.00

自引率

13.70%

发文量

174

审稿时长

3 months

期刊介绍： The IEEE Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems Society to a wide variety of related areas such as: • Bioelectronics • Implantable and wearable electronics like cochlear and retinal prosthesis, motor control, etc. • Biotechnology sensor circuits, integrated systems, and networks • Micropower imaging technology • BioMEMS • Lab-on-chip Bio-nanotechnology • Organic Semiconductors • Biomedical Engineering • Genomics and Proteomics • Neuromorphic Engineering • Smart sensors • Low power micro- and nanoelectronics • Mixed-mode system-on-chip • Wireless technology • Gene circuits and molecular circuits • System biology • Brain science and engineering: such as neuro-informatics, neural prosthesis, cognitive engineering, brain computer interface • Healthcare: information technology for biomedical, epidemiology, and other related life science applications. General, theoretical, and application-oriented papers in the abovementioned technical areas with a Circuits and Systems perspective are encouraged to publish in TBioCAS. Of special interest are biomedical-oriented papers with a Circuits and Systems angle.