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

Yuyang Hu, Michael Brown, Didem Doğan, Geert Leus, Pieter Kruizinga, Antonius F.W. Van Der Steen, Johannes G. Bosch

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
38 Downloads (Pure)

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
Title of host publicationProceedings of the IUS 2022 - IEEE International Ultrasonics Symposium
Place of PublicationPiscataway
PublisherIEEE
Number of pages4
ISBN (Electronic)978-1-6654-6657-8
ISBN (Print)978-1-6654-7813-7
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Ultrasonics Symposium, IUS 2022 - Venice, Italy
Duration: 10 Oct 202213 Oct 2022

Conference

Conference2022 IEEE International Ultrasonics Symposium, IUS 2022
Country/TerritoryItaly
CityVenice
Period10/10/2213/10/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Carotid artery
  • Compressive imaging
  • Image reconstruction
  • Matched filtering
  • Simulation

Fingerprint

Dive into the research topics of 'Compressive Imaging with Spatial Coding Masks on Low Number of Elements: An Emulation Study'. Together they form a unique fingerprint.

Cite this