Fast super resolution ultrasound imaging by tracking of erythrocytes using different velocity constraints

Mostafa Amin Naji, Iman Taghavi, Stinne Byrholdt Søgaard, Sofie Bech Andersen, Charlotte Mehlin Sørensen, Matthias Bo Stuart, Jørgen Arendt Jensen

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

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One of the integral parts of super-resolution ultrasound imaging (SRI) is particle tracking. This paper presents tracking for a new approach for SUper Resolution ultrasound imaging using Erythrocytes (SURE), which uses the erythrocytes as the target instead of fragile microbubbles. The acquisition of the SURE data can be accomplished in seconds due to the abundance of erythrocytes as targets. The nearest-neighbor (NN) algorithm was used to track erythrocytes. The erythrocyte targets were tracked to create SURE intensity map by three NN trackers with a constraint on the maximum velocities of 20, 40, 80 mm/s. By combining the outputs of three trackers, and inserting them into one map, and also using an image fusion method based on discrete wavelet transform for fusion the intensity maps, it was demonstrated that the combination of trajectories from different velocities and fusion of intensity maps carried more information from all the maps.
Original languageEnglish
Title of host publicationMedical Imaging 2022: Ultrasonic Imaging and Tomography
Number of pages7
Publication date2022
Article number120380G
ISBN (Print)9781510649514
Publication statusPublished - 2022
EventSPIE Medical Imaging 2022 - San Diego, United States
Duration: 21 Feb 202227 Mar 2022


ConferenceSPIE Medical Imaging 2022
Country/TerritoryUnited States
CitySan Diego
Internet address
SeriesProceedings of SPIE - The International Society for Optical Engineering


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