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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Eurac Research

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Ultrafast 3-D Super Resolution Ultrasound using Row-Column Array specific Coherence-based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, In Vivo and Clinical Studycitations

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Dunsby, Chris
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Hansen-Shearer, Joseph
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Yan, Jipeng
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Lerendegui, Marcelo
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Huang, Biao
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Toulemonde, Matthieu
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Tan, Qingyuan
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Tang, Meng-Xing
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Tonko, Johanna
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Weinberg, Peter D.
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2023

Co-Authors (by relevance)

  • Dunsby, Chris
  • Hansen-Shearer, Joseph
  • Yan, Jipeng
  • Lerendegui, Marcelo
  • Huang, Biao
  • Toulemonde, Matthieu
  • Tan, Qingyuan
  • Tang, Meng-Xing
  • Tonko, Johanna
  • Weinberg, Peter D.
OrganizationsLocationPeople

document

Ultrafast 3-D Super Resolution Ultrasound using Row-Column Array specific Coherence-based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, In Vivo and Clinical Study

  • Dunsby, Chris
  • Hansen-Shearer, Joseph
  • Yan, Jipeng
  • Lerendegui, Marcelo
  • Huang, Biao
  • Toulemonde, Matthieu
  • Riemer, Kai
  • Tan, Qingyuan
  • Tang, Meng-Xing
  • Tonko, Johanna
  • Weinberg, Peter D.
Abstract

The row-column addressed array is an emerging probe for ultrafast 3-D ultrasound imaging. It achieves this with far fewer independent electronic channels and a wider field of view than traditional 2-D matrix arrays, of the same channel count, making it a good candidate for clinical translation. However, the image quality of row-column arrays is generally poor, particularly when investigating tissue. Ultrasound localisation microscopy allows for the production of super-resolution images even when the initial image resolution is not high. Unfortunately, the row-column probe can suffer from imaging artefacts that can degrade the quality of super-resolution images as `secondary' lobes from bright microbubbles can be mistaken as microbubble events, particularly when operated using plane wave imaging. These false events move through the image in a physiologically realistic way so can be challenging to remove via tracking, leading to the production of 'false vessels'. Here, a new type of rolling window image reconstruction procedure was developed, which integrated a row-column array-specific coherence-based beamforming technique with acoustic sub-aperture processing for the purposes of reducing `secondary' lobe artefacts, noise and increasing the effective frame rate. Using an {{in vitro}} cross tube, it was found that the procedure reduced the percentage of `false' locations from 26\% to 15\% compared to traditional orthogonal plane wave compounding. Additionally, it was found that the noise could be reduced by 7 dB and that the effective frame rate could be increased to over 4000 fps. Subsequently, {{in vivo}} ultrasound localisation microscopy was used to produce images non-invasively of a rabbit kidney and a human thyroid.

Topics
  • impedance spectroscopy
  • microscopy