文献知网节
  • 记笔记

Cheetah: A Library for Parallel Ultrasound Beamforming in Multi-Core Systems

David Romero-LaordenCarlos Julian Martin-ArguedasJavier Villazon-TerrazasOscar Martinez-GraulleraMatilde Santos PenasCesar Gutierrez-FernandezAna Jimenez Martin

ITEFI,Spanish National Research CouncilDepartment of Electronics,University of AlcalaDepartment of Computer Architecture and Automation,Complutense University of Madrid

摘要:Developing new imaging methods needs to establish some proofs of concept before implementing them on real-time scenarios. Nowadays, the high computational power reached by multi-core CPUs and GPUs have driven the development of software-based beamformers. Taking this into account, a library for the fast generation of ultrasound images is presented. It is based on Synthetic Aperture Imaging Techniques(SAFT) and it is fast because of the use of parallel computing techniques. Any kind of transducers as well as SAFT techniques can be defined although it includes some pre-built SAFT methods like 2R-SAFT and TFM. Furthermore, 2D and 3D imaging(slicebased or full volume computation) is supported along with the ability to generate both rectangular and angular images. For interpolation, linear and polynomial schemes can be chosen. The versatility of the library is ensured by interfacing it to Matlab, Python and any programming language over different operating systems. On a standard PC equipped with a single NVIDIA Quadro 4000(256 cores), the library is able to calculate 262,144 pixels in ≈105 ms using a linear transducer with 64 elements, and 2,097,152 voxels in ≈ 5 seconds using a matrix transducer with 121 elements when TFM is applied.
会议名称:

2015 Workshop 8

会议时间:

2015-08-25

会议地点:

中国上海

  • 专辑:

    基础科学; 工程科技Ⅱ辑; 信息科技

  • 专题:

    物理学; 工业通用技术及设备; 计算机软件及计算机应用

  • 分类号:

    TP391.41;TB559

  • 手机阅读
    即刻使用手机阅读
    第一步

    扫描二维码下载

    "移动知网-全球学术快报"客户端

    第二步

    打开“全球学术快报”

    点击首页左上角的扫描图标

    第三步

    扫描二维码

    手机同步阅读本篇文献

  • CAJ下载
  • PDF下载

下载手机APP用APP扫此码同步阅读该篇文章

下载:2 页码:44-49 页数:6 大小:846k

引文网络
  • 参考文献
  • 引证文献
  • 共引文献
  • 同被引文献
  • 二级参考文献
  • 二级引证文献
  • 批量下载
相关推荐
  • 相似文献
  • 读者推荐
  • 相关基金文献
  • 相关法规
  • 关联作者
  • 相关视频