| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Thomsen, Erik Vilain
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (28/28 displayed)
- 2023Contrast-enhanced ultrasound imaging using capacitive micromachined ultrasonic transducerscitations
- 2022A Hand-Held 190+190 Row–Column Addressed CMUT Probe for Volumetric Imagingcitations
- 2021Polysilicon on Quartz Substrate for Silicide Based Row-Column CMUTs
- 2021Analytical Deflection Profiles and Pull-In Voltage Calculations of Prestressed Electrostatic Actuated MEMS Structurescitations
- 20213D printed calibration micro-phantoms for super-resolution ultrasound imaging validationcitations
- 2020Pull-in Analysis of CMUT Elementscitations
- 2020Large Scale High Voltage 192+192 Row-Column Addressed CMUTs Made with Anodic Bondingcitations
- 2020Electrical Insulation of CMUT Elements Using DREM and Lappingcitations
- 2020Electrical Insulation of CMUT Elements Using DREM and Lappingcitations
- 2019Imaging Performance for Two Row–Column Arrayscitations
- 2019188+188 Row–Column Addressed CMUT Transducer for Super Resolution Imagingcitations
- 2019CMUT Electrode Resistance Design: Modelling and Experimental Verification by a Row-Column Arraycitations
- 20193D Printed Calibration Micro-phantoms for Validation of Super-Resolution Ultrasound Imagingcitations
- 2018Probe development of CMUT and PZT row-column-addressed 2-D arrayscitations
- 2018Increasing the field-of-view of row–column-addressed ultrasound transducers: implementation of a diverging compound lenscitations
- 2018Design of a novel zig-zag 192+192 Row Column Addressed Array Transducer: A simulation study.citations
- 2017Combined Colorimetric and Gravimetric CMUT Sensor for Detection of Phenylacetonecitations
- 2017Transmitting Performance Evaluation of ASICs for CMUT-Based Portable Ultrasound Scanners
- 2017Output Pressure and Pulse-Echo Characteristics of CMUTs as Function of Plate Dimensionscitations
- 20163-D Vector Flow Using a Row-Column Addressed CMUT Arraycitations
- 20153-D Imaging Using Row–Column-Addressed Arrays With Integrated Apodization. Part I: Apodization Design and Line Element Beamformingcitations
- 20153-D Imaging Using Row–Column-Addressed Arrays With Integrated Apodization. Part I: Apodization Design and Line Element Beamformingcitations
- 20153-D Imaging Using Row-Column-Addressed Arrays With Integrated Apodization:Part II: Transducer Fabrication and Experimental Resultscitations
- 20153-D Imaging Using Row-Column-Addressed Arrays With Integrated Apodizationcitations
- 2011Fusion bonding of silicon nitride surfacescitations
- 2010Touch mode micromachined capacitive pressure sensor with signal conditioning electronics
- 2009Highly sensitive micromachined capacitive pressure sensor with reduced hysteresis and low parasitic capacitancecitations
- 2008Giant Geometrically Amplified Piezoresistance in Metal-Semiconductor Hybrid Resistorscitations
Places of action
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article
3D printed calibration micro-phantoms for super-resolution ultrasound imaging validation
Abstract
This study evaluates the use of 3D printed phantoms for 3D super-resolution ultrasound imaging (SRI) algorithm calibration. The main benefit of the presented method is the ability to do absolute 3D micro-positioning of sub-wavelength sized ultrasound scatterers in a material having a speed of sound comparable to that of tissue. Stereolithography is used for 3D printing soft material calibration micro-phantoms containing eight randomly placed scatterers of nominal size 205 μm205 μm200 μm. The backscattered pressure spatial distribution is evaluated to show similar distributions from micro-bubbles as the 3D printed scatterers. The printed structures are found through optical validation to expand linearly in all three dimensions by 2.6% after printing. SRI algorithm calibration is demonstrated by imaging a phantom using a /2 pitch 3 MHz 62+62 row-column addressed (RCA) ultrasound probe. The printed scatterers will act as point targets, as their dimensions are below the diffraction limit of the ultrasound system used. Two sets of 640 volumes containing the phantom features are imaged, with an intervolume uni-axial movement of the phantom of 12.5 μm, to˜ emulate a flow velocity of 2 mm/s at a frame rate of 160 Hz. The ultrasound signal is passed to a super-resolution pipeline to localise the positions of the scatterers and track them across the 640 volumes. After compensating for the phantom expansion, a scaling of 0.989 is found between the distance between the eight scatterers calculated from the ultrasound data and the designed distances. 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 is expected to be between the two limiting estimates of (σ<sub><i>x</i>, </sub>σ<sub><i>y</i>, </sub>σ<sub><i>z</i></sub>) = (22.7 μm, 27.6 μm, 9.7 μm) and (σ<sub><i>x</i>, </sub>σ<sub><i>y</i>, </sub>σ<sub><i>z</i></sub>) = (18.7 μm, 19.3 μm, 8.9 μm). In conclusion, this study demonstrates the use of 3D printed phantoms for determining the accuracy and precision of volumetric super-resolution algorithms.