Improving sensitivity in acoustoelectric imaging with coded excitation and optimized inverse filter

Hsin Wu Tseng, Yexian Qin, Matthew O'Donnell, Russell S Witte

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

1 Citation (Scopus)

Abstract

Acoustoelectric imaging (AEI) is based on the interaction between a pressure wave and tissue resistivity to map electrical current at high spatial resolution. This approach overcomes limitations with conventional bioelectrical imaging, which typically suffers from poor resolution due to the ambiguous conductivity distribution between the current sources and detection electrodes. As we have shown in a variety of preparations, including the live rabbit heart, the magnitude of the AE signal at physiological current is weak (∼1 μV). In this study, we examine the role of the pulse waveform in amplifying the AE signal and improving the signal-to-noise ratio for imaging. Using both simulation and bench-top experiment with a standard broadband ultrasound transducer, we analyze the effects of nonlinear coded excitation with optimized compression. Compared to a short linear frequency modulated pulse (chirp), the nonlinear chirp with optimized inverse filtering can improve the signal to noise ratio (SNR) under certain conditions by >6 dB while preserving high spatial resolution.

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

chirp
filters
sensitivity
signal to noise ratios
spatial resolution
excitation
high resolution
rabbits
pulses
elastic waves
preserving
seats
transducers
waveforms
broadband
conductivity
preparation
electrical resistivity
electrodes
simulation

Keywords

  • Brain Imaging
  • Cardiac Imaging
  • ECG
  • EEG
  • Ultrasound Current Source Density Imaging
  • Unipolar Pulse

ASJC Scopus subject areas

  • Acoustics and Ultrasonics

Cite this

Tseng, H. W., Qin, Y., O'Donnell, M., & Witte, R. S. (2017). Improving sensitivity in acoustoelectric imaging with coded excitation and optimized inverse filter. In 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8092982] IEEE Computer Society. https://doi.org/10.1109/ULTSYM.2017.8092982

Improving sensitivity in acoustoelectric imaging with coded excitation and optimized inverse filter. / Tseng, Hsin Wu; Qin, Yexian; O'Donnell, Matthew; Witte, Russell S.

2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017. 8092982.

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

Tseng, HW, Qin, Y, O'Donnell, M & Witte, RS 2017, Improving sensitivity in acoustoelectric imaging with coded excitation and optimized inverse filter. in 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8092982, IEEE Computer Society, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, United States, 9/6/17. https://doi.org/10.1109/ULTSYM.2017.8092982
Tseng HW, Qin Y, O'Donnell M, Witte RS. Improving sensitivity in acoustoelectric imaging with coded excitation and optimized inverse filter. In 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society. 2017. 8092982 https://doi.org/10.1109/ULTSYM.2017.8092982
Tseng, Hsin Wu ; Qin, Yexian ; O'Donnell, Matthew ; Witte, Russell S. / Improving sensitivity in acoustoelectric imaging with coded excitation and optimized inverse filter. 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society, 2017.
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