Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints
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Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints. / Amin-Naji, Mostafa; Taghavi, Iman; Sogaard, Stinne Byrholdt; Andersen, Sofie Bech; Sorensen, Charlotte Mehlin; Stuart, Matthias Bo; Jensen, Jorgen Arendt.
I: Proceedings of S P I E - International Society for Optical Engineering, Bind 12038, 120380G, 2022.Publikation: Bidrag til tidsskrift › Konferenceartikel › fagfællebedømt
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TY - GEN
T1 - Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints
AU - Amin-Naji, Mostafa
AU - Taghavi, Iman
AU - Sogaard, Stinne Byrholdt
AU - Andersen, Sofie Bech
AU - Sorensen, Charlotte Mehlin
AU - Stuart, Matthias Bo
AU - Jensen, Jorgen Arendt
N1 - Publisher Copyright: © 2022 SPIE. All rights reserved.
PY - 2022
Y1 - 2022
N2 - One of the integral parts of super-resolution ultrasound imaging (SRI) is particle tracking, and researchers are trying to improve SRI with different tracking methods. 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 (MBs). 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, since this is one of the successful approaches for MB tracking in SRI. 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. Each tracker generated a different track map that depict different details. By combining the outputs of three trackers, and inserting them into one map, it was demonstrated that the combination of trajectories from different velocities carried more information from all the maps. Also, an image fusion method using discrete wavelet transform is applied on the intensity maps of these three dfferent velocities. Qualitative and quantitative experiments were conducted to exhibit the enhancements of the combined and the fused intensity map. Comparing three intensity maps with their combination and fusion and also a magnified area showed the fused one had better visual appearance than the others. Standard deviation (SD), average gradient (AG), entropy (H) and spatial frequency (SF) were used for quantitative comparison. According to SD, AG, H, and SF, the fused intensity map had 10%, 46%, 2%, and 46% higher scores compared to the combined intensity map. Also, the fused intensity map had 19% and 22% higher scores compared to the intensity map with maximum velocities of 80 mm/s according to AG and SF, respectively.
AB - One of the integral parts of super-resolution ultrasound imaging (SRI) is particle tracking, and researchers are trying to improve SRI with different tracking methods. 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 (MBs). 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, since this is one of the successful approaches for MB tracking in SRI. 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. Each tracker generated a different track map that depict different details. By combining the outputs of three trackers, and inserting them into one map, it was demonstrated that the combination of trajectories from different velocities carried more information from all the maps. Also, an image fusion method using discrete wavelet transform is applied on the intensity maps of these three dfferent velocities. Qualitative and quantitative experiments were conducted to exhibit the enhancements of the combined and the fused intensity map. Comparing three intensity maps with their combination and fusion and also a magnified area showed the fused one had better visual appearance than the others. Standard deviation (SD), average gradient (AG), entropy (H) and spatial frequency (SF) were used for quantitative comparison. According to SD, AG, H, and SF, the fused intensity map had 10%, 46%, 2%, and 46% higher scores compared to the combined intensity map. Also, the fused intensity map had 19% and 22% higher scores compared to the intensity map with maximum velocities of 80 mm/s according to AG and SF, respectively.
KW - image fusion
KW - particle tracking
KW - Super resolution ultrasound imaging
KW - ultrasound image enhancement
UR - http://www.scopus.com/inward/record.url?scp=85132016267&partnerID=8YFLogxK
U2 - 10.1117/12.2612355
DO - 10.1117/12.2612355
M3 - Conference article
AN - SCOPUS:85132016267
VL - 12038
JO - Proceedings of S P I E - International Society for Optical Engineering
JF - Proceedings of S P I E - International Society for Optical Engineering
SN - 0277-786X
M1 - 120380G
T2 - Medical Imaging 2022: Ultrasonic Imaging and Tomography
Y2 - 21 March 2022 through 27 March 2022
ER -
ID: 311872753