Near real-time measurement of myocardial contraction and relaxation based on high-frame-rate ultrasound with a graphical processing unit system

Takuma Asai, Hirofumi Taki, Hiroshi Kanai

Research output: Contribution to journalArticle

Abstract

Several speckle tracking methods have been proposed for noninvasive and quantitative evaluation of tissue motion. Since the low temporal resolution causes a large myocardial motion in the elevational direction and a large deformation, two-dimensional (2D) speckle tracking at a high frame rate is desirable for accurate estimation of myocardial contraction and relaxation. 2D speckle tracking at a high frame rate requires a high computational load, and the large suppression of calculation time is, therefore, essential for clinical use. In the present study, we investigate the minimum frame rate required for the estimation of myocardial contraction and relaxation. Furthermore, we employ a parallel computing principle using a graphical processing unit (GPU) system with 2,496 streaming processors to decrease the calculation time effectively. The employment of a parallel computing principle with a GPU system successfully decreased the calculation time to 1/50 of that using a desktop PC with a CPU. When the number of tracking points is 64, the calculation time was decreased to 28.7 s for the estimation during 1 s at a frame rate of 287 Hz, indicating that the proposed method with a GPU system has a potential to realize a near real-time estimation of myocardial contraction and relaxation.

Original languageEnglish
Pages (from-to)573-578
Number of pages6
JournalIEEJ Transactions on Electronics, Information and Systems
Volume137
Issue number4
DOIs
Publication statusPublished - 2017 Jan 1

Keywords

  • Graphical processing unit (GPU)
  • Myocardial contraction/relaxation property
  • Speckle tracking
  • Two-dimensional (2D) displacement estimation

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Near real-time measurement of myocardial contraction and relaxation based on high-frame-rate ultrasound with a graphical processing unit system'. Together they form a unique fingerprint.

  • Cite this