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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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Jensen, Jørgen Arendt
Technical University of Denmark
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (26/26 displayed)
- 2023Contrast-enhanced ultrasound imaging using capacitive micromachined ultrasonic transducerscitations
- 2022A Hand-Held 190+190 Row–Column Addressed CMUT Probe for Volumetric Imagingcitations
- 20213D printed calibration micro-phantoms for super-resolution ultrasound imaging validationcitations
- 2020Real Time Synthetic Aperture and Plane Wave Ultrasound Imaging with the Xilinx VERSAL™ SIMD-VLIW Architecturecitations
- 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
- 2017Transmitting Performance Evaluation of ASICs for CMUT-Based Portable Ultrasound Scanners
- 2017Real-time Implementation of Synthetic Aperture Vector Flow Imaging on a Consumer-level Tabletcitations
- 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
- 2012Multilayer piezoelectric transducer models combined with Field IIcitations
- 2011Performance Evaluation of a Synthetic Aperture Real-Time Ultrasound System
- 2010Simulation of High Quality Ultrasound Imaging
- 2009Parameter sensitivity study of a Field II multilayer transducer model on a convex transducercitations
- 2007Medical ultrasound imagingcitations
- 2004Preliminary In-Vivo Evaluation of Convex Array Synthetic Aperture Imagingcitations
- 2003Delay generation methods with reduced memory requirementscitations
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document
3D Printed Calibration Micro-phantoms for Validation of Super-Resolution Ultrasound Imaging
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.