Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys. / Taghavi, Iman; Andersen, Sofie Bech; Sogaard, Stinne Byrholdt; Nielsen, Michael Bachmann; Sorensen, Charlotte Mehlin; Stuart, Matthias Bo; Jensen, Jorgen Arendt.

2021 IEEE International Ultrasonics Symposium (IUS). IEEE, 2021. (IEEE International Ultrasonics Symposium, IUS).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Taghavi, I, Andersen, SB, Sogaard, SB, Nielsen, MB, Sorensen, CM, Stuart, MB & Jensen, JA 2021, Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys. i 2021 IEEE International Ultrasonics Symposium (IUS). IEEE, IEEE International Ultrasonics Symposium, IUS, 2021 IEEE International Ultrasonics Symposium, IUS 2021, Virtual, Online, Kina, 11/09/2011. https://doi.org/10.1109/IUS52206.2021.9593655

APA

Taghavi, I., Andersen, S. B., Sogaard, S. B., Nielsen, M. B., Sorensen, C. M., Stuart, M. B., & Jensen, J. A. (2021). Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys. I 2021 IEEE International Ultrasonics Symposium (IUS) IEEE. IEEE International Ultrasonics Symposium, IUS https://doi.org/10.1109/IUS52206.2021.9593655

Vancouver

Taghavi I, Andersen SB, Sogaard SB, Nielsen MB, Sorensen CM, Stuart MB o.a. Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys. I 2021 IEEE International Ultrasonics Symposium (IUS). IEEE. 2021. (IEEE International Ultrasonics Symposium, IUS). https://doi.org/10.1109/IUS52206.2021.9593655

Author

Taghavi, Iman ; Andersen, Sofie Bech ; Sogaard, Stinne Byrholdt ; Nielsen, Michael Bachmann ; Sorensen, Charlotte Mehlin ; Stuart, Matthias Bo ; Jensen, Jorgen Arendt. / Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys. 2021 IEEE International Ultrasonics Symposium (IUS). IEEE, 2021. (IEEE International Ultrasonics Symposium, IUS).

Bibtex

@inproceedings{ff52b16eb0a44abfb5e1e024437260ac,
title = "Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys",
abstract = "Velocity is one of the clinically interesting parameters. A number of studies have shown the ability of super-resolution (SR) ultrasound imaging to visualize this parameter using velocity maps. However, manual separation of the velocity estimates for arteries from veins can be quite demanding. This study used the anatomical knowledge of rat kidneys for automatic classification of arterial and venous blood velocities in SR images and measured their variations in the medullary regions of four healthy Sprague-Dawley rat kidneys. The measurements were conducted using a modified bk5000 scanner (BK Medical, Herlev, Denmark) and a BK 9009 linear array probe with a pulse amplitude modulation scheme. Ten minutes of acquired B-mode and contrast images with frame-rate of 54 Hz were processed using a SR processing pipeline. The micro-bubble trajectories were filtered using coarse anatomy labels for classification of arterial and venous flow. The velocity estimates of separated arterioles and venules of the outer medulla showed separation of data in all rats. A Wilcoxon test showed that this difference was statistically significant (p=0.002). Considering the sample size for this study, the t-distributions predicted that the median velocity in the OM arterioles and venules were in the range of 0.84 ± 0.09 mm/s and 0.70 ± 0.07 mm/s with 95% confidence. The result showed how the blood flow in outer medulla arterioles and venules of rat kidneys can be automatically distinguished using the known anatomical information about the renal vasculature. ",
author = "Iman Taghavi and Andersen, {Sofie Bech} and Sogaard, {Stinne Byrholdt} and Nielsen, {Michael Bachmann} and Sorensen, {Charlotte Mehlin} and Stuart, {Matthias Bo} and Jensen, {Jorgen Arendt}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Ultrasonics Symposium, IUS 2021 ; Conference date: 11-09-2011 Through 16-09-2011",
year = "2021",
doi = "10.1109/IUS52206.2021.9593655",
language = "English",
isbn = "978-0-7381-1209-1",
series = "IEEE International Ultrasonics Symposium, IUS",
publisher = "IEEE",
booktitle = "2021 IEEE International Ultrasonics Symposium (IUS)",

}

RIS

TY - GEN

T1 - Automatic Classification of Arterial and Venous Flow in Super-resolution Ultrasound Images of Rat Kidneys

AU - Taghavi, Iman

AU - Andersen, Sofie Bech

AU - Sogaard, Stinne Byrholdt

AU - Nielsen, Michael Bachmann

AU - Sorensen, Charlotte Mehlin

AU - Stuart, Matthias Bo

AU - Jensen, Jorgen Arendt

N1 - Publisher Copyright: © 2021 IEEE.

PY - 2021

Y1 - 2021

N2 - Velocity is one of the clinically interesting parameters. A number of studies have shown the ability of super-resolution (SR) ultrasound imaging to visualize this parameter using velocity maps. However, manual separation of the velocity estimates for arteries from veins can be quite demanding. This study used the anatomical knowledge of rat kidneys for automatic classification of arterial and venous blood velocities in SR images and measured their variations in the medullary regions of four healthy Sprague-Dawley rat kidneys. The measurements were conducted using a modified bk5000 scanner (BK Medical, Herlev, Denmark) and a BK 9009 linear array probe with a pulse amplitude modulation scheme. Ten minutes of acquired B-mode and contrast images with frame-rate of 54 Hz were processed using a SR processing pipeline. The micro-bubble trajectories were filtered using coarse anatomy labels for classification of arterial and venous flow. The velocity estimates of separated arterioles and venules of the outer medulla showed separation of data in all rats. A Wilcoxon test showed that this difference was statistically significant (p=0.002). Considering the sample size for this study, the t-distributions predicted that the median velocity in the OM arterioles and venules were in the range of 0.84 ± 0.09 mm/s and 0.70 ± 0.07 mm/s with 95% confidence. The result showed how the blood flow in outer medulla arterioles and venules of rat kidneys can be automatically distinguished using the known anatomical information about the renal vasculature.

AB - Velocity is one of the clinically interesting parameters. A number of studies have shown the ability of super-resolution (SR) ultrasound imaging to visualize this parameter using velocity maps. However, manual separation of the velocity estimates for arteries from veins can be quite demanding. This study used the anatomical knowledge of rat kidneys for automatic classification of arterial and venous blood velocities in SR images and measured their variations in the medullary regions of four healthy Sprague-Dawley rat kidneys. The measurements were conducted using a modified bk5000 scanner (BK Medical, Herlev, Denmark) and a BK 9009 linear array probe with a pulse amplitude modulation scheme. Ten minutes of acquired B-mode and contrast images with frame-rate of 54 Hz were processed using a SR processing pipeline. The micro-bubble trajectories were filtered using coarse anatomy labels for classification of arterial and venous flow. The velocity estimates of separated arterioles and venules of the outer medulla showed separation of data in all rats. A Wilcoxon test showed that this difference was statistically significant (p=0.002). Considering the sample size for this study, the t-distributions predicted that the median velocity in the OM arterioles and venules were in the range of 0.84 ± 0.09 mm/s and 0.70 ± 0.07 mm/s with 95% confidence. The result showed how the blood flow in outer medulla arterioles and venules of rat kidneys can be automatically distinguished using the known anatomical information about the renal vasculature.

U2 - 10.1109/IUS52206.2021.9593655

DO - 10.1109/IUS52206.2021.9593655

M3 - Article in proceedings

AN - SCOPUS:85122850066

SN - 978-0-7381-1209-1

T3 - IEEE International Ultrasonics Symposium, IUS

BT - 2021 IEEE International Ultrasonics Symposium (IUS)

PB - IEEE

T2 - 2021 IEEE International Ultrasonics Symposium, IUS 2021

Y2 - 11 September 2011 through 16 September 2011

ER -

ID: 302544176