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Volatility Clustering in Medical Ultrasound Imaging and System Identification Based Deconvolution

  • Kyriaki Kostoglou (Speaker)

Activity: Talk or presentation › Poster presentation › science-to-science

Description

We propose a system identification based deconvolution algorithm for medical ultrasound imaging enhancement. Deconvolution is realized using Multivariate Autoregressive (MVAR) models taking into account the heteroscedastic nature of the recorded ultrasonic signals. Based on simulations, phantoms and in vivo data we show the superiority of the proposed algorithm under the presence of volatility in the obtained images.
Period08 Oct 2019
Event titleIEEE International Ultrasonics Symposium 2019
Event typeConference
LocationUnited KingdomShow on map

Fields of science

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  • 202027 Mechatronics
  • 202015 Electronics
  • 202037 Signal processing
  • 202036 Sensor systems
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  • 202 Electrical Engineering, Electronics, Information Engineering
  • 202023 Integrated circuits
  • 202034 Control engineering
  • 202022 Information technology
  • 202030 Communication engineering
  • 202041 Computer engineering
  • 202040 Transmission technology

JKU Focus areas

  • Digital Transformation