Design considerations and performance of a variable gain, variable bandwidth signal processing circuit for acoustoelectric imaging

Tushar Kanti Bera, Pier Ingram, Yexian Qin, Russell S Witte

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Acoustoelectric (AE) imaging is a new technique for mapping current densities in the heart and brain at a high resolution determined by the size of the ultrasound (US) focus. Because the amplitude of the AE interaction signal in biological tissue is weak (on order of 1 μV), detection of small currents is challenging with poor signal-to-noise ratio (SNR). Because optimal detection depends on minimizing background noise, the design and performance of the recording system, especially amplifiers and filters, is crucial for efficient and sensitive AE imaging. The amplitude and bandwidth of the AE signal depends on a variety of factors, including the US bandwidth and beam pattern, distribution of current densities, properties of the recording electrodes, and amount of averaging/sampling. The primary goal of this work was to optimize the design and performance of the acoustoelectric differential amplifier, including signal processing circuits, to minimize noise and maximize sensitivity for detection of the AE signal. Variable gain, band-pass filter (BPF) cutoffs, and bandwidth are critical design parameters for optimizing the AE imaging platform for mapping weak electric currents in tissue.

Original languageEnglish (US)
Title of host publication2017 IEEE International Ultrasonics Symposium, IUS 2017
PublisherIEEE Computer Society
ISBN (Electronic)9781538633830
DOIs
StatePublished - Oct 31 2017
Event2017 IEEE International Ultrasonics Symposium, IUS 2017 - Washington, United States
Duration: Sep 6 2017Sep 9 2017

Other

Other2017 IEEE International Ultrasonics Symposium, IUS 2017
CountryUnited States
CityWashington
Period9/6/179/9/17

Fingerprint

signal processing
bandwidth
recording
differential amplifiers
current density
distribution (property)
background noise
bandpass filters
electric current
brain
signal to noise ratios
cut-off
platforms
amplifiers
sampling
filters
electrodes
sensitivity
high resolution
interactions

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Bera, T. K., Ingram, P., Qin, Y., & Witte, R. S. (2017). Design considerations and performance of a variable gain, variable bandwidth signal processing circuit for acoustoelectric imaging. In 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8091674] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8091674

Design considerations and performance of a variable gain, variable bandwidth signal processing circuit for acoustoelectric imaging. / Bera, Tushar Kanti; Ingram, Pier; Qin, Yexian; Witte, Russell S.

2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8091674.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bera, TK, Ingram, P, Qin, Y & Witte, RS 2017, Design considerations and performance of a variable gain, variable bandwidth signal processing circuit for acoustoelectric imaging. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8091674, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 9/6/17. https://doi.org/10.1109/ULTSYM.2017.8091674
Bera TK, Ingram P, Qin Y, Witte RS. Design considerations and performance of a variable gain, variable bandwidth signal processing circuit for acoustoelectric imaging. In 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society. 2017. 8091674 https://doi.org/10.1109/ULTSYM.2017.8091674
Bera, Tushar Kanti ; Ingram, Pier ; Qin, Yexian ; Witte, Russell S. / Design considerations and performance of a variable gain, variable bandwidth signal processing circuit for acoustoelectric imaging. 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017.
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