Recursive Imaging for Tracking High Density Scatterers in Super-Resolution Imaging

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

A key component of super-resolution ultrasound imaging (SRI) is the detection and tracking of scatterers. These scatterers can be microbubbles (MBs) in SRI, or erythrocytes in SUper Resolution ultrasound imaging using Erythrocytes (SURE). To ensure the reliability of MBs tracking in SRI, the MBs must be sparse. However, the sparse distribution of the MBs necessitates several minutes of acquisition. In contrast, there are large numbers of erythrocytes in SURE. Increasing the number of scatterers can reduce the acquisition time, however tracking uncorrelated and high-density scatterers is quite challenging. It is hypothesized that recursive Synthetic Aperture (SA) imaging will increase the detecting and tracking abilities of the high-density and non-separable scatterers. The hypothesis was verified using a hydrogel 3D-printed micro-flow phantom and a Sprague-Dawley rat kidney. The results show that using recursive SA imaging provides better detection and tracking of high-density and non-separable targets, as well as a smoother and more parabolic velocity profile than conventional SA imaging.

Original languageEnglish
Title of host publication2023 IEEE International Ultrasonics Symposium (IUS)
Number of pages4
Place of PublicationMontreal, QC, Canada
PublisherIEEE Computer Society Press
Publication date2023
ISBN (Print)979-8-3503-4646-6
ISBN (Electronic)979-8-3503-4645-9
DOIs
Publication statusPublished - 2023
Event2023 IEEE International Ultrasonics Symposium, IUS 2023 - Montreal, Canada
Duration: 3 Sep 20238 Sep 2023

Conference

Conference2023 IEEE International Ultrasonics Symposium, IUS 2023
LandCanada
ByMontreal
Periode03/09/202308/09/2023
SponsorIEEE, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC)
SeriesIEEE International Ultrasonics Symposium, IUS
ISSN1948-5719

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

    Research areas

  • High Density Scatterers, Recursive Imaging, Super Resolution Imaging, Synthetic Aperture, Ultrasound Imaging

ID: 377054840