Blood vessel structural morphology derived from 3D dual-frequency ultrasound images

Gessner, Ryan C.; Kothadia, Roshni; Feingold, Steven; Aylward, Stephen; Bullitt, Elizabeth; Dayton, Paul A.

doi:10.1109/ultsym.2010.5935593

Cited by 4 publications

(2 citation statements)

References 21 publications

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“…Gessner et al [3] demonstrated a dual-frequency (2.5-MHz transmit and 30-MHz receive) transducer for high microbubble-to-background contrast imaging. Their imaging mode relied on highly nonlinear transient responses of contrast agents excited near their resonance frequency and emitting a broadband response received by transducers with frequency response high enough that tissue harmonics are negligible.…”

Section: Introductionmentioning

confidence: 99%

Simulation and Fabrication of Compounded CMUTs for Medical Applications

Yan¹,

Zhang²,

Zhang³

2015

Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics

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Abstract-This paper reports a compounded capacitive micromachined ultrasound transducer (CMUT), which has the potential of CMUTs for multi-frequency transducer applications and medical application both imaging and therapy. The compounded CMUT has a cell with low and high-frequency structures. we introduce a fabrication method involving two silicon-on-insulator (SOI) wafers. The performances of CMUTs are strongly dependent on the geometrical properties of the single cells and their arrangement within each element as well. Our devices are modeled using a finite-element package. Finite element simulations about parametric studies are used for analysis, design, and optimization of CMUT cells to predict device performance. Measured deflections show excellent agreement with modeled performance.

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Section: Introductionmentioning

confidence: 99%

Simulation and Fabrication of Compounded CMUTs for Medical Applications

Yan¹,

Zhang²,

Zhang³

2015

Proceedings of the 2015 International Conference on Electrical, Electronics and Mechatronics

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show abstract

“…In this context, temporal compounding is defined as the application of a linear filter (e.g., FIR filter or an averaging window) to the DCEUS data in the time domain. For example, averaging of several 3-D CEUS scans taken during the wash-in phase of a bolus injection, [16] can be considered a temporal compounding procedure. An obvious limitation of this approach is that a priori assumption of the signal's degree of smoothness is needed in order to set the cut-off frequency.…”

mentioning

confidence: 99%