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

Zhaohong Chen, Yongdong Chen, Qinghua Huang

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

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.

Original languageEnglish
Article number7112648
Pages (from-to)394-403
Number of pages10
JournalIEEE Transactions on Biomedical Circuits and Systems
Volume10
Issue number2
DOIs
StatePublished - Apr 2016
Externally publishedYes

Keywords

  • 3D ultrasound
  • mechanical scanning
  • parallel computing
  • strain imaging
  • wireless data transfer

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