Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2017Real-time Implementation of Synthetic Aperture Vector Flow Imaging on a Consumer-level Tablet6citations

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Jensen, Jørgen Arendt
1 / 26 shared
Villagómez Hoyos, Carlos Armando
1 / 1 shared
Kjeldsen, Thomas Kim
1 / 1 shared
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2017

Co-Authors (by relevance)

  • Jensen, Jørgen Arendt
  • Villagómez Hoyos, Carlos Armando
  • Kjeldsen, Thomas Kim
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document

Real-time Implementation of Synthetic Aperture Vector Flow Imaging on a Consumer-level Tablet

  • Jensen, Jørgen Arendt
  • Villagómez Hoyos, Carlos Armando
  • Kjeldsen, Thomas Kim
  • Mosegaard, Jesper
Abstract

In this work, a 2-D vector flow imaging (VFI) method based on synthetic aperture sequential beamforming (SASB) and directional transverse oscillation is implemented on a commercially available tablet. The SASB technique divides the beamforming process in two parts, whereby the required data rate between the probe and back-end can be reduced by a factor of 64 compared to conventional delay-and-sum focusing. The lowered data rate enables real-time wireless transfer for both B-mode and VFI data. In thepresent setup, element data were acquired from a straight vessel with the SARUS research scanner and processed by a first-stage beamformer in a fixed focus. The data were subsequently transferred to an HTC Nexus 9 tablet through an ASUS RT-AC68U Wi-Fi router to simulate a wireless probe. The second-stage beamforming of the B-mode and flow data and the velocity estimation were implemented on the tablet’s built-in GPU (Nvidia Tegra K1) through the OpenGL ES 3.1 API. Real-time performance was achieved with rates up to 26 VFI frames per second (38 ms/frame) for concurrent processing and Wi-Fi transmission.<br/>

Topics
  • impedance spectroscopy
  • mass spectrometry