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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.

OriginalsprogEngelsk
Titel2023 IEEE International Ultrasonics Symposium (IUS)
Antal sider4
UdgivelsesstedMontreal, QC, Canada
ForlagIEEE Computer Society Press
Publikationsdato2023
ISBN (Trykt)979-8-3503-4646-6
ISBN (Elektronisk)979-8-3503-4645-9
DOI
StatusUdgivet - 2023
Begivenhed2023 IEEE International Ultrasonics Symposium, IUS 2023 - Montreal, Canada
Varighed: 3 sep. 20238 sep. 2023

Konference

Konference2023 IEEE International Ultrasonics Symposium, IUS 2023
LandCanada
ByMontreal
Periode03/09/202308/09/2023
SponsorIEEE, IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society (UFFC)
NavnIEEE International Ultrasonics Symposium, IUS
ISSN1948-5719

Bibliografisk note

Funding Information:
The work is financially supported by European Research Council’s (ERC) Synergy Grant 854796.

Publisher Copyright:
© 2023 IEEE.

ID: 377054840