Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study with In Vivo Examples

Jacob Bjerring Olesen; Carlos Armando Villagomez-Hoyos; Niclas Dechau Moller; Caroline Ewertsen; Kristoffer Lindskov Hansen; Michael Bachmann Nielsen; Bo Bech; Lars Lonn; Marie Sand Traberg; Jorgen Arendt Jensen

doi:10.1109/TUFFC.2018.2808328

Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study with In Vivo Examples

Jacob Bjerring Olesen^*, Carlos Armando Villagomez-Hoyos, Niclas Dechau Moller, Caroline Ewertsen, Kristoffer Lindskov Hansen, Michael Bachmann Nielsen, Bo Bech, Lars Lonn, Marie Sand Traberg, Jorgen Arendt Jensen

^*Corresponding author for this work

Department of Clinical Medicine

10 Citations (Scopus)

Abstract

A noninvasive method for estimating intravascular pressure changes using 2-D vector velocity is presented. The method was first validated on computational fluid dynamic (CFD) data and with catheter measurements on phantoms. Hereafter, the method was tested in vivo at the carotid bifurcation and at the aortic valve of two healthy volunteers. Ultrasound measurements were performed using the experimental scanner SARUS, in combination with an 8 MHz linear array transducer for experimental scans and a carotid scan, whereas a 3.5-MHz phased array probe was employed for a scan of an aortic valve. Measured 2-D fields of angle-independent vector velocities were obtained using synthetic aperture imaging. Pressure drops from simulated steady flow through six vessel geometries spanning different degrees of diameter narrowing, running from 20%-70%, showed relative biases from 0.35% to 12.06%, depending on the degree of constriction. Phantom measurements were performed on a vessel with the same geometry as the 70% constricted CFD model. The derived pressure drops were compared to pressure drops measured by a clinically used 4F catheter and to a finite-element model. The proposed method showed peak systolic pressure drops of -3 kPa ± 57 Pa, while the catheter and the simulation model showed -5.4 kPa ± 52 Pa and -2.9 kPa, respectively. An in vivo acquisition of 10 s was made at the carotid bifurcation. This produced eight cardiac cycles from where pressure gradients of -227 ± 15 Pa were found. Finally, the aortic valve measurement showed a peak pressure drop of -2.1 kPa over one cardiac cycle. In conclusion, pressure gradients from convective flow changes are detectable using 2-D vector velocity ultrasound.

Original language	English
Journal	IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume	65
Issue number	5
Pages (from-to)	709-719
Number of pages	11
ISSN	0885-3010
DOIs	https://doi.org/10.1109/TUFFC.2018.2808328
Publication status	Published - 2018

Keywords

Blood
medical ultrasound
noninvasiv
pressure gradient
vector flow estimation

Access to Document

10.1109/TUFFC.2018.2808328

Cite this

Olesen, J. B., Villagomez-Hoyos, C. A., Moller, N. D., Ewertsen, C., Hansen, K. L., Nielsen, M. B., Bech, B., Lonn, L., Traberg, M. S., & Jensen, J. A. (2018). Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study with In Vivo Examples. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 65(5), 709-719. https://doi.org/10.1109/TUFFC.2018.2808328

Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study with In Vivo Examples. / Olesen, Jacob Bjerring; Villagomez-Hoyos, Carlos Armando; Moller, Niclas Dechau et al.
In: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, Vol. 65, No. 5, 2018, p. 709-719.

Research output: Contribution to journal › Journal article › Research › peer-review

Olesen, JB, Villagomez-Hoyos, CA, Moller, ND, Ewertsen, C , Hansen, KL , Nielsen, MB, Bech, B, Lonn, L, Traberg, MS & Jensen, JA 2018, 'Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study with In Vivo Examples', IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 65, no. 5, pp. 709-719. https://doi.org/10.1109/TUFFC.2018.2808328

@article{cde9ed5b4891417dbf0f8295ee21cdb2,

title = "Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study with In Vivo Examples",

abstract = "A noninvasive method for estimating intravascular pressure changes using 2-D vector velocity is presented. The method was first validated on computational fluid dynamic (CFD) data and with catheter measurements on phantoms. Hereafter, the method was tested in vivo at the carotid bifurcation and at the aortic valve of two healthy volunteers. Ultrasound measurements were performed using the experimental scanner SARUS, in combination with an 8 MHz linear array transducer for experimental scans and a carotid scan, whereas a 3.5-MHz phased array probe was employed for a scan of an aortic valve. Measured 2-D fields of angle-independent vector velocities were obtained using synthetic aperture imaging. Pressure drops from simulated steady flow through six vessel geometries spanning different degrees of diameter narrowing, running from 20%-70%, showed relative biases from 0.35% to 12.06%, depending on the degree of constriction. Phantom measurements were performed on a vessel with the same geometry as the 70% constricted CFD model. The derived pressure drops were compared to pressure drops measured by a clinically used 4F catheter and to a finite-element model. The proposed method showed peak systolic pressure drops of -3 kPa ± 57 Pa, while the catheter and the simulation model showed -5.4 kPa ± 52 Pa and -2.9 kPa, respectively. An in vivo acquisition of 10 s was made at the carotid bifurcation. This produced eight cardiac cycles from where pressure gradients of -227 ± 15 Pa were found. Finally, the aortic valve measurement showed a peak pressure drop of -2.1 kPa over one cardiac cycle. In conclusion, pressure gradients from convective flow changes are detectable using 2-D vector velocity ultrasound.",

keywords = "Blood, medical ultrasound, noninvasiv, pressure gradient, vector flow estimation",

author = "Olesen, {Jacob Bjerring} and Villagomez-Hoyos, {Carlos Armando} and Moller, {Niclas Dechau} and Caroline Ewertsen and Hansen, {Kristoffer Lindskov} and Nielsen, {Michael Bachmann} and Bo Bech and Lars Lonn and Traberg, {Marie Sand} and Jensen, {Jorgen Arendt}",

year = "2018",

doi = "10.1109/TUFFC.2018.2808328",

language = "English",

volume = "65",

pages = "709--719",

journal = "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control",

issn = "0885-3010",

publisher = "Institute of Electrical and Electronics Engineers",

number = "5",

}

TY - JOUR

T1 - Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound

T2 - An Experimental Study with In Vivo Examples

AU - Olesen, Jacob Bjerring

AU - Villagomez-Hoyos, Carlos Armando

AU - Moller, Niclas Dechau

AU - Ewertsen, Caroline

AU - Hansen, Kristoffer Lindskov

AU - Nielsen, Michael Bachmann

AU - Bech, Bo

AU - Lonn, Lars

AU - Traberg, Marie Sand

AU - Jensen, Jorgen Arendt

PY - 2018

Y1 - 2018

N2 - A noninvasive method for estimating intravascular pressure changes using 2-D vector velocity is presented. The method was first validated on computational fluid dynamic (CFD) data and with catheter measurements on phantoms. Hereafter, the method was tested in vivo at the carotid bifurcation and at the aortic valve of two healthy volunteers. Ultrasound measurements were performed using the experimental scanner SARUS, in combination with an 8 MHz linear array transducer for experimental scans and a carotid scan, whereas a 3.5-MHz phased array probe was employed for a scan of an aortic valve. Measured 2-D fields of angle-independent vector velocities were obtained using synthetic aperture imaging. Pressure drops from simulated steady flow through six vessel geometries spanning different degrees of diameter narrowing, running from 20%-70%, showed relative biases from 0.35% to 12.06%, depending on the degree of constriction. Phantom measurements were performed on a vessel with the same geometry as the 70% constricted CFD model. The derived pressure drops were compared to pressure drops measured by a clinically used 4F catheter and to a finite-element model. The proposed method showed peak systolic pressure drops of -3 kPa ± 57 Pa, while the catheter and the simulation model showed -5.4 kPa ± 52 Pa and -2.9 kPa, respectively. An in vivo acquisition of 10 s was made at the carotid bifurcation. This produced eight cardiac cycles from where pressure gradients of -227 ± 15 Pa were found. Finally, the aortic valve measurement showed a peak pressure drop of -2.1 kPa over one cardiac cycle. In conclusion, pressure gradients from convective flow changes are detectable using 2-D vector velocity ultrasound.

AB - A noninvasive method for estimating intravascular pressure changes using 2-D vector velocity is presented. The method was first validated on computational fluid dynamic (CFD) data and with catheter measurements on phantoms. Hereafter, the method was tested in vivo at the carotid bifurcation and at the aortic valve of two healthy volunteers. Ultrasound measurements were performed using the experimental scanner SARUS, in combination with an 8 MHz linear array transducer for experimental scans and a carotid scan, whereas a 3.5-MHz phased array probe was employed for a scan of an aortic valve. Measured 2-D fields of angle-independent vector velocities were obtained using synthetic aperture imaging. Pressure drops from simulated steady flow through six vessel geometries spanning different degrees of diameter narrowing, running from 20%-70%, showed relative biases from 0.35% to 12.06%, depending on the degree of constriction. Phantom measurements were performed on a vessel with the same geometry as the 70% constricted CFD model. The derived pressure drops were compared to pressure drops measured by a clinically used 4F catheter and to a finite-element model. The proposed method showed peak systolic pressure drops of -3 kPa ± 57 Pa, while the catheter and the simulation model showed -5.4 kPa ± 52 Pa and -2.9 kPa, respectively. An in vivo acquisition of 10 s was made at the carotid bifurcation. This produced eight cardiac cycles from where pressure gradients of -227 ± 15 Pa were found. Finally, the aortic valve measurement showed a peak pressure drop of -2.1 kPa over one cardiac cycle. In conclusion, pressure gradients from convective flow changes are detectable using 2-D vector velocity ultrasound.

KW - Blood

KW - medical ultrasound

KW - noninvasiv

KW - pressure gradient

KW - vector flow estimation

U2 - 10.1109/TUFFC.2018.2808328

DO - 10.1109/TUFFC.2018.2808328

M3 - Journal article

C2 - 29733275

AN - SCOPUS:85042378455

SN - 0885-3010

VL - 65

SP - 709

EP - 719

JO - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

JF - IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control

IS - 5

ER -

Noninvasive Estimation of Pressure Changes Using 2-D Vector Velocity Ultrasound: An Experimental Study with In Vivo Examples

Abstract

Keywords

Access to Document

Fingerprint

Cite this