Ultrasound super-resolution imaging with a hierarchical Kalman tracker

Iman Taghavi*, Sofie Bech Andersen, Carlos Armando Villagómez Hoyos, Mikkel Schou, Fredrik Gran, Kristoffer Lindskov Hansen, Michael Bachmann Nielsen, Charlotte Mehlin Sørensen, Matthias Bo Stuart, Jørgen Arendt Jensen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

94 Downloads (Pure)

Abstract

Microbubble (MB) tracking plays an important role in ultrasound super-resolution imaging (SRI) by enabling velocity estimation and improving image quality. This work presents a new hierarchical Kalman (HK) tracker to achieve better performance at scenarios with high concentrations of MBs and high localization uncertainty. The method attempts to follow MBs with different velocity ranges using different Kalman filters. An extended simulation framework for evaluating trackers is also presented and used for comparison of the proposed HK tracker with the nearest-neighbor (NN) and Kalman (K) trackers. The HK tracks were most similar to the ground truth with the highest Jaccard similarity coefficient in 79% of the scenarios and the lowest root-mean-square error in 72% of the scenarios. The HK tracker reconstructed vessels with a more accurate diameter. In a scenario with an uncertainty of 51.2 μm in MB localization, a vessel diameter of 250 μm was estimated as 257 μm by HK tracker, compared with 329 μm and 389 μm for the K and NN trackers. In the same scenario, the HK tracker estimated MB velocities with a relative bias down to 1.7% and a relative standard deviation down to 8.3%. Finally, the different tracking techniques were applied to in vivo data from rat kidneys, and trends similar to the simulations were observed. Conclusively, the results showed an improvement in tracking performance, when the HK tracker was employed in comparison with the NN and K trackers.
Original languageEnglish
Article number106695
JournalUltrasonics
Volume122
Number of pages9
ISSN0041-624X
DOIs
Publication statusPublished - 2022

Keywords

  • Super-resolution imaging (SRI)
  • Ultrasound localization microscopy (ULM)
  • Contrast-enhanced ultrasound (CEUS)
  • Microbubble tracking
  • Microscopy

Fingerprint

Dive into the research topics of 'Ultrasound super-resolution imaging with a hierarchical Kalman tracker'. Together they form a unique fingerprint.

Cite this