Selecting the number and location of sources and receivers for non-linear time-domain inversion

Ramirez, Ana B.; Abreo, Sergio A.; Dongen, Koen W. A. van

doi:10.1109/ultsym.2017.8092028

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…By the reciprocity principle, it is easy to identify that

and

introduce equivalent information in the beamformer. By extending this principle, an acquisition strategy that reduces the number of signals by almost half can be used [ 24 , 27 ]. Figure 2 a illustrates this strategy (

), where each white square corresponds to one acquired signal.…”

Section: The Coarray Analysismentioning

confidence: 99%

Design of Ultrasonic Synthetic Aperture Imaging Systems Based on a Non-Grid 2D Sparse Array

Souza

Parrilla

Higuti

et al. 2021

Sensors

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This work provides a guide to design ultrasonic synthetic aperture systems for non-grid two-dimensional sparse arrays such as spirals or annular segmented arrays. It presents an algorithm that identifies which elements have a more significant impact on the beampattern characteristics and uses this information to reduce the number of signals, the number of emitters and the number of parallel receiver channels involved in the beamforming process. Consequently, we can optimise the 3D synthetic aperture ultrasonic imaging system for a specific sparse array, reducing the computational cost, the hardware requirements and the system complexity. Simulations using a Fermat spiral array and experimental data based on an annular segmented array with 64 elements are used to assess this algorithm.

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“…By the reciprocity principle, it is easy to identify that

and

), where each white square corresponds to one acquired signal.…”

Section: The Coarray Analysismentioning

confidence: 99%

Design of Ultrasonic Synthetic Aperture Imaging Systems Based on a Non-Grid 2D Sparse Array

Souza

Parrilla

Higuti

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The 32 sources and 128 receivers are equally distributed over the white dotted circle indicating S (see Fig. 2) 26 . In Fig.…”

Section: A Configurationmentioning

confidence: 99%

Multi-parameter inversion with the aid of particle velocity field reconstruction

Taskin

Dongen

2020

The Journal of the Acoustical Society of America

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Multi-parameter inversion for medical ultrasound leads to an improved tissue classification. In general, simultaneous reconstruction of volume density of mass and compressibility would require knowledge of the particle velocity field alongside with the pressure field. However, in practice the particle velocity field is not measured.Here, we propose a method for multi-parameter inversion where the particle velocity field is reconstructed from the measured pressure field. To this end, the measured pressure field is described using outward propagating Hankel functions. For a synthetic setup, it is shown that the reconstructed particle velocity field matches the forward modelled particle velocity field. Next, the reconstructed particle velocity field is used together with the synthetically measured pressure field to reconstruct density and compressibility profiles with the aid of contrast source inversion (CSI).Finally, comparing the reconstructed speed of sound profiles obtained via singleparameter versus multi-parameter inversion shows that multi-parameter outperforms single-parameter inversion with respect to accuracy and stability.

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Selecting the number and location of sources and receivers for non-linear time-domain inversion

Cited by 2 publications

References 5 publications

Design of Ultrasonic Synthetic Aperture Imaging Systems Based on a Non-Grid 2D Sparse Array

Design of Ultrasonic Synthetic Aperture Imaging Systems Based on a Non-Grid 2D Sparse Array

Multi-parameter inversion with the aid of particle velocity field reconstruction

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