Acoustic field characterization of medical array transducers based on unfocused transmits and single-plane hydrophone measurements

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Marhenke, T.; Sanabria, S.J.; Chintada, B.R.; Furrer, R.; Neuenschwander, J. et al.: Acoustic field characterization of medical array transducers based on unfocused transmits and single-plane hydrophone measurements. In: Sensors 19 (2019), Nr. 4, 863. DOI: https://doi.org/10.3390/s19040863

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/4742

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Sum total of downloads: 142




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Abstract: 
Medical ultrasonic arrays are typically characterized in controlled water baths using measurements by a hydrophone, which can be translated with a positioning stage. Characterization of 3D acoustic fields conventionally requires measurements at each spatial location, which is tedious and time-consuming, and may be prohibitive given limitations of experimental setup (e.g., the bath and stage) and measurement equipment (i.e., the hydrophone). Moreover, with the development of new ultrasound sequences and modalities, multiple measurements are often required to characterize each imaging mode to ensure performance and clinical safety. Acoustic holography allows efficient characterization of source transducer fields based on single plane measurements. In this work, we explore the applicability of a re-radiation method based on the Rayleigh–Sommerfeld integral to medical imaging array characterization. We show that source fields can be reconstructed at single crystal level at wavelength resolution, based on far-field measurements. This is herein presented for three practical application scenarios: for identifying faulty transducer elements; for characterizing acoustic safety parameters in focused ultrasound sequences from 2D planar measurements; and for estimating arbitrary focused fields based on calibration from an unfocused sound field and software beamforming. The results experimentally show that the acquired pressure fields closely match those estimated using our technique.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2019
Appears in Collections:Fakultät für Maschinenbau

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pos. country downloads
total perc.
1 image of flag of Germany Germany 93 65.49%
2 image of flag of United States United States 16 11.27%
3 image of flag of China China 12 8.45%
4 image of flag of Sweden Sweden 4 2.82%
5 image of flag of No geo information available No geo information available 3 2.11%
6 image of flag of Vietnam Vietnam 2 1.41%
7 image of flag of Turkey Turkey 2 1.41%
8 image of flag of Taiwan Taiwan 1 0.70%
9 image of flag of Russian Federation Russian Federation 1 0.70%
10 image of flag of Netherlands Netherlands 1 0.70%
    other countries 7 4.93%

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