Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints

Publikation: Bidrag til tidsskriftKonferenceartikelfagfællebedømt

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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 tidsskriftKonferenceartikelfagfællebedømt

Harvard

Amin-Naji, M, Taghavi, I, Sogaard, SB, Andersen, SB, Sorensen, CM, Stuart, MB & Jensen, JA 2022, 'Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints', Proceedings of S P I E - International Society for Optical Engineering, bind 12038, 120380G. https://doi.org/10.1117/12.2612355

APA

Amin-Naji, M., Taghavi, I., Sogaard, S. B., Andersen, S. B., Sorensen, C. M., Stuart, M. B., & Jensen, J. A. (2022). Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints. Proceedings of S P I E - International Society for Optical Engineering, 12038, [120380G]. https://doi.org/10.1117/12.2612355

Vancouver

Amin-Naji M, Taghavi I, Sogaard SB, Andersen SB, Sorensen CM, Stuart MB o.a. Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints. Proceedings of S P I E - International Society for Optical Engineering. 2022;12038. 120380G. https://doi.org/10.1117/12.2612355

Author

Amin-Naji, Mostafa ; Taghavi, Iman ; Sogaard, Stinne Byrholdt ; Andersen, Sofie Bech ; Sorensen, Charlotte Mehlin ; Stuart, Matthias Bo ; Jensen, Jorgen Arendt. / Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints. I: Proceedings of S P I E - International Society for Optical Engineering. 2022 ; Bind 12038.

Bibtex

@inproceedings{17d0f7a2fcd24567a2d8465586b5d590,
title = "Fast Super Resolution Ultrasound Imaging by Tracking of Erythrocytes using Di-erent Velocity Constraints",
abstract = "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.",
keywords = "image fusion, particle tracking, Super resolution ultrasound imaging, ultrasound image enhancement",
author = "Mostafa Amin-Naji and Iman Taghavi and Sogaard, {Stinne Byrholdt} and Andersen, {Sofie Bech} and Sorensen, {Charlotte Mehlin} and Stuart, {Matthias Bo} and Jensen, {Jorgen Arendt}",
note = "Publisher Copyright: {\textcopyright} 2022 SPIE. All rights reserved.; Medical Imaging 2022: Ultrasonic Imaging and Tomography ; Conference date: 21-03-2022 Through 27-03-2022",
year = "2022",
doi = "10.1117/12.2612355",
language = "English",
volume = "12038",
journal = "Proceedings of S P I E - International Society for Optical Engineering",
issn = "0277-786X",
publisher = "International Society for Optical Engineering",

}

RIS

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