Materials Map

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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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Publications (26/26 displayed)

  • 2023Contrast-enhanced ultrasound imaging using capacitive micromachined ultrasonic transducers4citations
  • 2022A Hand-Held 190+190 Row–Column Addressed CMUT Probe for Volumetric Imaging5citations
  • 20213D printed calibration micro-phantoms for super-resolution ultrasound imaging validation24citations
  • 2020Real Time Synthetic Aperture and Plane Wave Ultrasound Imaging with the Xilinx VERSAL™ SIMD-VLIW Architecture5citations
  • 2019Imaging Performance for Two Row–Column Arrays38citations
  • 2019188+188 Row–Column Addressed CMUT Transducer for Super Resolution Imaging3citations
  • 2019CMUT Electrode Resistance Design: Modelling and Experimental Verification by a Row-Column Array15citations
  • 20193D Printed Calibration Micro-phantoms for Validation of Super-Resolution Ultrasound Imaging2citations
  • 2018Probe development of CMUT and PZT row-column-addressed 2-D arrays29citations
  • 2018Increasing the field-of-view of row–column-addressed ultrasound transducers: implementation of a diverging compound lens18citations
  • 2018Design of a novel zig-zag 192+192 Row Column Addressed Array Transducer: A simulation study.4citations
  • 2017Transmitting Performance Evaluation of ASICs for CMUT-Based Portable Ultrasound Scannerscitations
  • 2017Real-time Implementation of Synthetic Aperture Vector Flow Imaging on a Consumer-level Tablet6citations
  • 2017Output Pressure and Pulse-Echo Characteristics of CMUTs as Function of Plate Dimensions4citations
  • 20163-D Vector Flow Using a Row-Column Addressed CMUT Array7citations
  • 20153-D Imaging Using Row–Column-Addressed Arrays With Integrated Apodization. Part I: Apodization Design and Line Element Beamforming125citations
  • 20153-D Imaging Using Row–Column-Addressed Arrays With Integrated Apodization. Part I: Apodization Design and Line Element Beamforming125citations
  • 20153-D Imaging Using Row-Column-Addressed Arrays With Integrated Apodization:Part II: Transducer Fabrication and Experimental Results105citations
  • 20153-D Imaging Using Row-Column-Addressed Arrays With Integrated Apodization105citations
  • 2012Multilayer piezoelectric transducer models combined with Field II1citations
  • 2011Performance Evaluation of a Synthetic Aperture Real-Time Ultrasound Systemcitations
  • 2010Simulation of High Quality Ultrasound Imagingcitations
  • 2009Parameter sensitivity study of a Field II multilayer transducer model on a convex transducer1citations
  • 2007Medical ultrasound imaging152citations
  • 2004Preliminary In-Vivo Evaluation of Convex Array Synthetic Aperture Imaging12citations
  • 2003Delay generation methods with reduced memory requirements12citations

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Tomov, Borislav Gueorguiev
5 / 5 shared
Øygard, Sigrid Husebø
1 / 1 shared
Thomsen, Erik Vilain
17 / 28 shared
Ommen, Martin Lind
4 / 5 shared
Stuart, Matthias Bo
7 / 7 shared
Larsen, Niels Bent
3 / 22 shared
Diederichsen, Søren Elmin
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Grass, Rune Sixten
2 / 4 shared
Moesner, Lars N.
1 / 1 shared
Havreland, Andreas S.
1 / 1 shared
Bhatti, Mudabbir T.
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Beers, Christopher
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Engholm, Mathias
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Pedersen, Stine Løvholt Grue
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Schou, Mikkel
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Corradi, Giulio
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Nikolov, Svetoslav Ivanov
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Bouzari, Hamed
3 / 3 shared
Havreland, Andreas Spandet
3 / 6 shared
Hansen, Ole
1 / 83 shared
Moesner, Lars Nordahl
4 / 4 shared
Christiansen, Thomas Lehrmann
6 / 11 shared
Bagge, Jan Peter
4 / 4 shared
Jørgensen, Ivan Harald Holger
1 / 2 shared
Villagómez Hoyos, Carlos Armando
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Kjeldsen, Thomas Kim
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Mosegaard, Jesper
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Hansen, Jesper Mark Fly
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Lei, Anders
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Holbek, Simon
1 / 1 shared
Rasmussen, Morten Fischer
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Willatzen, Morten
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Bæk, David
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Kortbek, Jacob
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Hemmsen, Martin Christian
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Pedersen, Morten Høgholm
1 / 1 shared
Gammelmark, Kim
1 / 1 shared
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Co-Authors (by relevance)

  • Tomov, Borislav Gueorguiev
  • Øygard, Sigrid Husebø
  • Thomsen, Erik Vilain
  • Ommen, Martin Lind
  • Stuart, Matthias Bo
  • Larsen, Niels Bent
  • Diederichsen, Søren Elmin
  • Grass, Rune Sixten
  • Moesner, Lars N.
  • Havreland, Andreas S.
  • Bhatti, Mudabbir T.
  • Beers, Christopher
  • Engholm, Mathias
  • Pedersen, Stine Løvholt Grue
  • Schou, Mikkel
  • Corradi, Giulio
  • Nikolov, Svetoslav Ivanov
  • Bouzari, Hamed
  • Havreland, Andreas Spandet
  • Hansen, Ole
  • Moesner, Lars Nordahl
  • Christiansen, Thomas Lehrmann
  • Bagge, Jan Peter
  • Jørgensen, Ivan Harald Holger
  • Villagómez Hoyos, Carlos Armando
  • Kjeldsen, Thomas Kim
  • Mosegaard, Jesper
  • Hansen, Jesper Mark Fly
  • Lei, Anders
  • Holbek, Simon
  • Rasmussen, Morten Fischer
  • Willatzen, Morten
  • Bæk, David
  • Kortbek, Jacob
  • Hemmsen, Martin Christian
  • Pedersen, Morten Høgholm
  • Gammelmark, Kim
OrganizationsLocationPeople

document

Parameter sensitivity study of a Field II multilayer transducer model on a convex transducer

  • Willatzen, Morten
  • Bæk, David
  • Jensen, Jørgen Arendt
Abstract

A multilayer transducer model for predicting a transducer impulse response has in earlier works been developed and combined with the Field II software. This development was tested on current, voltage, and intensity measurements on piezoceramics discs (Bæk et al. IUS 2008) and a convex 128 element ultrasound imaging transducer (Bæk et al. ICU 2009). The model benefits from its 1D simplicity and hasshown to give an amplitude error around 1.7‐2 dB. However, any prediction of amplitude, phase, and attenuation of pulses relies on the accuracy of manufacturer supplied material characteristics, which may be inaccurate estimates. The previous test cases have assumed the simulation parameters to be exact as received from the manufacturer. In this paper the influence of a deviation in the accuracy of the different parameters is studied by comparing simulation and measurement. The long term objective is a quantitative calibrated model for a complete ultrasound system. This includes a sensitivity study aspresented here.Statement of Contribution/MethodsThe study alters 35 different model parameters which describe a 128 element convex transducer from BK Medical Aps. The changes are within ±20 % of the values supplied by the manufacturer, which are considered the zero reference (ZR). Simulations of a system consisting of a transmit unit, a five material layer transducer, and the FIELD II predicted pressure are performed by altering in turn the value of a single parameter in steps of 2 %. The remaining simulation parameters are held fixed at the ZR. The influence of the parameter change is determined by calculating the pressure and the intensity at adistance of 112 mm on an element’s center axis and comparing it with hydrophone measurements. These are performed with a water bath hydrophone setup using an Agilent MSO6014A oscilloscope that is set to average consecutive pulses 48 times for noise reduction of the hydrophone output. A commercial transmitter unit is used to drive the transducer with a 10 cycle tone burst at a frequency of 4.0 MHz and a maximum excitation amplitude of 31 volt.ResultsPredictions using the ZR give a pressure pulse error (PPE) and an intensity error (IE) of 32 % and 23 %, respectively, relative to the measured. Altering the piezoelectric permittivity +12 % from ZR decreases the PPE to 30 % and the IE to 2 % relative to the measured. Changing the stiffness constant of the lens -4 % from ZR increases the PPE and the IE with 6 % and 1 %, respectively. Performing the same with the ceramic stiffness the PPE is lowered 1.5 % and the IE is lowered 12 %.Discussion and ConclusionsPPEs are found mainly to be sensitive to lens properties and piezoceramic properties, but minor sensitive to changes in matching layers. IEs are mainly sensitive to the piezoceramic properties. The study shows that minor changes can improve predictions significantly.

Topics
  • impedance spectroscopy
  • phase
  • simulation
  • ceramic
  • appearance potential spectroscopy
  • infrared emission spectroscopy