Augmenting a wireless portable ultrasound imaging with a real-time hemodynamics solver

Anne Cecile Lesage, Marc Garbey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The core of our novel method and system consists of augmenting the standard features of an ultrasound probe by adding functional information from real-time hemodynamic flow computation. It is well known that the quality of ultrasound (US) imaging is very much operator dependent. Our hypothesis is that combining real-time Navier-Stokes simulation with US imaging may reveal inconsistency in mass conservation along the vascular structure that shows when the US acquisition needs to be redone. Augmenting a light wireless US imaging device with robust flow simulation may reveal itself to be a valuable tool to improve the quality of diagnostic with shear stress indicators. In this paper, we describe the main concept of our cyber-physical system to augment an US probe. However robust simulation of Navier-Stokes flow in real time remains a challenging problem. The focus of this paper is on the description and efficiency results of a new parallel domain decomposition algorithm to deliver that level of performance.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 17th International Conference on Bioinformatics and Bioengineering, BIBE 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages223-229
Number of pages7
Volume2018-January
ISBN (Electronic)9781538613245
DOIs
StatePublished - Jan 8 2018
Event17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017 - Herndon, United States
Duration: Oct 23 2017Oct 25 2017

Other

Other17th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2017
CountryUnited States
CityHerndon
Period10/23/1710/25/17

Keywords

  • Hemodynamics
  • Parallel computing
  • Real-time flow solver
  • Shear stress
  • Telemedicine
  • Ultrasound imaging

ASJC Scopus subject areas

  • Information Systems
  • Biomedical Engineering
  • Modeling and Simulation
  • Signal Processing
  • Health Informatics

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