Tracking performance in ultrasound super-resolution imaging

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

Standard

Tracking performance in ultrasound super-resolution imaging. / Taghavi, Iman; Andersen, Sofie B.; Hoyos, Carlos A.Villagomez; Schou, Mikkel; Oygard, Sigrid H.; Gran, Fredrik; Hansen, Kristoffer L.; Sorensen, Charlotte M.; Nielsen, Michael B.; Stuart, Matthias B.; Jensen, Jorgen Arendt.

IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE, 2020. 9251605.

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

Harvard

Taghavi, I, Andersen, SB, Hoyos, CAV, Schou, M, Oygard, SH, Gran, F, Hansen, KL, Sorensen, CM, Nielsen, MB, Stuart, MB & Jensen, JA 2020, Tracking performance in ultrasound super-resolution imaging. in IUS 2020 - International Ultrasonics Symposium, Proceedings., 9251605, IEEE, 2020 IEEE International Ultrasonics Symposium, IUS 2020, Las Vegas, United States, 07/09/2020. https://doi.org/10.1109/IUS46767.2020.9251605

APA

Taghavi, I., Andersen, S. B., Hoyos, C. A. V., Schou, M., Oygard, S. H., Gran, F., Hansen, K. L., Sorensen, C. M., Nielsen, M. B., Stuart, M. B., & Jensen, J. A. (2020). Tracking performance in ultrasound super-resolution imaging. In IUS 2020 - International Ultrasonics Symposium, Proceedings [9251605] IEEE. https://doi.org/10.1109/IUS46767.2020.9251605

Vancouver

Taghavi I, Andersen SB, Hoyos CAV, Schou M, Oygard SH, Gran F et al. Tracking performance in ultrasound super-resolution imaging. In IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE. 2020. 9251605 https://doi.org/10.1109/IUS46767.2020.9251605

Author

Taghavi, Iman ; Andersen, Sofie B. ; Hoyos, Carlos A.Villagomez ; Schou, Mikkel ; Oygard, Sigrid H. ; Gran, Fredrik ; Hansen, Kristoffer L. ; Sorensen, Charlotte M. ; Nielsen, Michael B. ; Stuart, Matthias B. ; Jensen, Jorgen Arendt. / Tracking performance in ultrasound super-resolution imaging. IUS 2020 - International Ultrasonics Symposium, Proceedings. IEEE, 2020.

Bibtex

@inproceedings{f514622ad4c34373b4cfef663fc2e8d6,
title = "Tracking performance in ultrasound super-resolution imaging",
abstract = "Tracking plays an important role in super-resolution (SR) ultrasound imaging, as it improves the quality and sharpness of the final SR images. Moreover, tracking enables quantification of clinically important parameters, such as blood flow velocity. However, the tracking performance degrades in the presence of complex particle patterns and localization uncertainty due to noise and motion. This work presents and discusses multiple approaches for tracking evaluation and compares a nearest-neighbor (NN) with a Kalman tracker through simulations and an in vivo experiment. It is shown that in the presence of a localization uncertainty with a standard deviation (SD) of ?/5, the bias and SD of the velocity estimates reach -1.04 ± 0.9 mm/s and -0.12 ± 0.72 mm/s in the NN and Kalman tracker, respectively (relative to the peak velocity of 10 mm/s). The precision of individual track positions is estimated for an in vivo experiment as 37.95 ± 21.37 µm and 23.9 ± 11.82 µm for the NN and Kalman trackers, respectively. The results indicate that the Kalman tracker achieves a better velocity estimation and reduces localization uncertainty.",
author = "Iman Taghavi and Andersen, {Sofie B.} and Hoyos, {Carlos A.Villagomez} and Mikkel Schou and Oygard, {Sigrid H.} and Fredrik Gran and Hansen, {Kristoffer L.} and Sorensen, {Charlotte M.} and Nielsen, {Michael B.} and Stuart, {Matthias B.} and Jensen, {Jorgen Arendt}",
year = "2020",
month = sep,
day = "7",
doi = "10.1109/IUS46767.2020.9251605",
language = "English",
booktitle = "IUS 2020 - International Ultrasonics Symposium, Proceedings",
publisher = "IEEE",
note = "2020 IEEE International Ultrasonics Symposium, IUS 2020 ; Conference date: 07-09-2020 Through 11-09-2020",

}

RIS

TY - GEN

T1 - Tracking performance in ultrasound super-resolution imaging

AU - Taghavi, Iman

AU - Andersen, Sofie B.

AU - Hoyos, Carlos A.Villagomez

AU - Schou, Mikkel

AU - Oygard, Sigrid H.

AU - Gran, Fredrik

AU - Hansen, Kristoffer L.

AU - Sorensen, Charlotte M.

AU - Nielsen, Michael B.

AU - Stuart, Matthias B.

AU - Jensen, Jorgen Arendt

PY - 2020/9/7

Y1 - 2020/9/7

N2 - Tracking plays an important role in super-resolution (SR) ultrasound imaging, as it improves the quality and sharpness of the final SR images. Moreover, tracking enables quantification of clinically important parameters, such as blood flow velocity. However, the tracking performance degrades in the presence of complex particle patterns and localization uncertainty due to noise and motion. This work presents and discusses multiple approaches for tracking evaluation and compares a nearest-neighbor (NN) with a Kalman tracker through simulations and an in vivo experiment. It is shown that in the presence of a localization uncertainty with a standard deviation (SD) of ?/5, the bias and SD of the velocity estimates reach -1.04 ± 0.9 mm/s and -0.12 ± 0.72 mm/s in the NN and Kalman tracker, respectively (relative to the peak velocity of 10 mm/s). The precision of individual track positions is estimated for an in vivo experiment as 37.95 ± 21.37 µm and 23.9 ± 11.82 µm for the NN and Kalman trackers, respectively. The results indicate that the Kalman tracker achieves a better velocity estimation and reduces localization uncertainty.

AB - Tracking plays an important role in super-resolution (SR) ultrasound imaging, as it improves the quality and sharpness of the final SR images. Moreover, tracking enables quantification of clinically important parameters, such as blood flow velocity. However, the tracking performance degrades in the presence of complex particle patterns and localization uncertainty due to noise and motion. This work presents and discusses multiple approaches for tracking evaluation and compares a nearest-neighbor (NN) with a Kalman tracker through simulations and an in vivo experiment. It is shown that in the presence of a localization uncertainty with a standard deviation (SD) of ?/5, the bias and SD of the velocity estimates reach -1.04 ± 0.9 mm/s and -0.12 ± 0.72 mm/s in the NN and Kalman tracker, respectively (relative to the peak velocity of 10 mm/s). The precision of individual track positions is estimated for an in vivo experiment as 37.95 ± 21.37 µm and 23.9 ± 11.82 µm for the NN and Kalman trackers, respectively. The results indicate that the Kalman tracker achieves a better velocity estimation and reduces localization uncertainty.

U2 - 10.1109/IUS46767.2020.9251605

DO - 10.1109/IUS46767.2020.9251605

M3 - Article in proceedings

AN - SCOPUS:85097910746

BT - IUS 2020 - International Ultrasonics Symposium, Proceedings

PB - IEEE

T2 - 2020 IEEE International Ultrasonics Symposium, IUS 2020

Y2 - 7 September 2020 through 11 September 2020

ER -

ID: 253691159