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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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Ommen, Martin Lind
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Publications (5/5 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
- 2020Micromachined 2D Transducers and Phantoms for 3D Super-Resolution Ultrasound Imaging
- 20193D Printed Calibration Micro-phantoms for Validation of Super-Resolution Ultrasound Imagingcitations
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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.