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)

  • 2023Multi-Perspective Photoacoustic Imaging Using Spatially Diverse CMUTs11citations

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Chart of shared publication
Cano, Camilo
1 / 1 shared
Gholampour, Amir
1 / 1 shared
Lopata, Richard G. P.
1 / 3 shared
Muller, Jan-Willem
1 / 1 shared
Wu, Min
1 / 7 shared
Van Sambeek, Marc
1 / 1 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Cano, Camilo
  • Gholampour, Amir
  • Lopata, Richard G. P.
  • Muller, Jan-Willem
  • Wu, Min
  • Van Sambeek, Marc
OrganizationsLocationPeople

article

Multi-Perspective Photoacoustic Imaging Using Spatially Diverse CMUTs

  • Cano, Camilo
  • Gholampour, Amir
  • Lopata, Richard G. P.
  • Muller, Jan-Willem
  • Wu, Min
  • Schwab, Hans-Martin
  • Van Sambeek, Marc
Abstract

<p>Photoacoustic imaging (PAI) is a promising technique to assess different constituents in tissue. In PAI, the propagating waves are low-amplitude, isotropic, and broadband. A common approach in PAI is the use of a single linear or curved piezoelectric transducer array to perform both PA and ultrasound imaging. These systems provide freedom, agility, and versatility for performing imaging, but have limited field of view (FOV) and directivity that degrade the final image quality. Capacitive micromachined ultrasonic transducers (CMUTs) have a great potential to be used for PAI since they provide larger bandwidth and better cost efficiency. In this study, to improve the FOV, resolution, and contrast, we propose a multiperspective PAI (MP-PAI) approach using multiple CMUTs on a flexible array with shared channels. The designed array was used to perform MP-PAI in an in vitro experiment using a plaque mimicking phantom where the images were compounded both incoherently and coherently. The MP-PAI approach showed a significant improvement in overall image quality. Using only three CMUTs led to about 20% increase in generalized-contrast-to-noise ratio (gCNR), 2-dB improvement in peak signal-to-noise ratio (PSNR), and double the structural coverage in comparison to a single CMUT setup. In numerical studies, the MP-PAI was thoroughly evaluated for both the coherent and incoherent compounding methods. The assessments showed that the image quality further improved for increased number of transducers and angular coverage. For 15 transducers, the improvement for resolution and contrast could be up to three times the amount in a single-perspective image. Nonetheless, the most prominent improvement of MP-PAI was its ability to resolve the structural information of the phantoms.</p>

Topics
  • impedance spectroscopy
  • experiment
  • ultrasonic
  • isotropic