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

doi:10.1117/12.2612355

4 April 2022 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

Author Affiliations +

Proceedings Volume 12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography; 120380G (2022) https://doi.org/10.1117/12.2612355
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

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.

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Citation Download Citation

Mostafa Amin-Naji, Iman Taghavi, Stinne Byrholdt Søgaard, Sofie Bech Andersen, Charlotte Mehlin Sørensen, Matthias Bo Stuart, and Jørgen Arendt Jensen "Fast super resolution ultrasound imaging by tracking of erythrocytes using different velocity constraints", Proc. SPIE 12038, Medical Imaging 2022: Ultrasonic Imaging and Tomography, 120380G (4 April 2022); https://doi.org/10.1117/12.2612355

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