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Compressive Imaging with Spatial Coding Masks on Low Number of Elements: An Emulation Study

  • Yuyang Hu
  • , Michael Brown
  • , Didem Dogan
  • , Geert Leus
  • , Pieter Kruizinga
  • , Antonius F.W. Van Der Steen
  • , Johannes G. Bosch
  • Delft University of Technology
  • Erasmus University Rotterdam

Research output: Contribution to journalConference articleAcademicpeer-review

2 Citations (Scopus)

Abstract

We intend to develop an ultrasound compressive imaging device to perform carotid artery (CA) function and flow monitoring/imaging by using just a few single element transducers equipped with spatial coding masks. The spatially unique impulse responses can be exploited in compressive reconstructions. To explore the potential of different configurations, in this study we emulated such a device using a linear array system. We combined its elements with individual digital delays into a small number of groups. The results suggest our spatial coding mask approach based on reconstructions regularized with a least squares method has potential for CA monitoring with only 10 to 12 sensors.

Original languageEnglish
JournalIEEE International Ultrasonics Symposium, IUS
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Ultrasonics Symposium, IUS 2022 - Venice, Italy
Duration: 10 Oct 202213 Oct 2022

Bibliographical note

Funding Information:
This publication is part of the project TOUCAN (with project number 17208) of the OTP research programme which is financed by the Dutch Research Council (NWO).

Publisher Copyright:
© 2022 IEEE.

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