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 (3/3 displayed)

  • 20213D printed calibration micro-phantoms for super-resolution ultrasound imaging validation24citations
  • 20193D Printed Calibration Micro-phantoms for Validation of Super-Resolution Ultrasound Imaging2citations
  • 2018Design of a novel zig-zag 192+192 Row Column Addressed Array Transducer: A simulation study.4citations

Places of action

Chart of shared publication
Thomsen, Erik Vilain
3 / 28 shared
Jensen, Jørgen Arendt
3 / 26 shared
Ommen, Martin Lind
2 / 5 shared
Beers, Christopher
2 / 6 shared
Larsen, Niels Bent
2 / 22 shared
Stuart, Matthias Bo
1 / 7 shared
Engholm, Mathias
1 / 14 shared
Havreland, Andreas Spandet
1 / 6 shared
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2021
2019
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Co-Authors (by relevance)

  • Thomsen, Erik Vilain
  • Jensen, Jørgen Arendt
  • Ommen, Martin Lind
  • Beers, Christopher
  • Larsen, Niels Bent
  • Stuart, Matthias Bo
  • Engholm, Mathias
  • Havreland, Andreas Spandet
OrganizationsLocationPeople

document

3D Printed Calibration Micro-phantoms for Validation of Super-Resolution Ultrasound Imaging

  • Schou, Mikkel
  • Thomsen, Erik Vilain
  • Jensen, Jørgen Arendt
  • Ommen, Martin Lind
  • Beers, Christopher
  • Larsen, Niels Bent
Abstract

This study evaluates the use of 3D printed phantoms for super-resolution ultrasound imaging (SRI) algorithm calibration.Stereolithography is used for printing calibration phantoms containing eight randomly placed scatterers of nominal size 205 µm × 205 µm × 200 µm. The purpose is to provide a stable reference for validating new ultrasonic imaging techniques such as SRI. SRI algorithm calibration is demonstrated by imaging a phantom using a λ/2 pitch 3 MHz 62+62 row-column addressed (RCA) ultrasound probe. As the imaging wavelength is larger than the dimensions of the scatterers, they will appear as single point spread functions in the generated volumes. The scatterers are placed with a minimum separation of 3 mm to avoid overlap of the point spread functions of the scatterers. 640 volumes containing the phantom features are generated, with an intervolume uniaxial movement of 12.5 µm, emulating a flow velocity of 2 mm/s at a volume frequency of 160 Hz. A superresolution pipeline is applied to the obtained volumes to localise the positions of the scatterers and track them across the 640 volumes. The standard deviation of the variation in the scatterer positions along each track is used as an estimate of the precision of the super-resolution algorithm, and was found to be between the two limiting estimates of (x, y, z) = (17.7, 27.6, 9.5) µm and (x, y, z) = (17.3, 19.3, 8.7) µm. In conclusion, this study demonstrates the use of 3D printed phantoms for determining the precision of super-resolution algorithms.

Topics
  • impedance spectroscopy
  • ultrasonic