High-frame-rate imaging of a carotid bifurcation using a low-complexity velocity estimation approach

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Standard

High-frame-rate imaging of a carotid bifurcation using a low-complexity velocity estimation approach. / Di Ianni, Tommaso; Hoyos, Carlos A.Villagomez; Ewertsen, Caroline; Nielsen, Michael Bachmann; Jensen, Jorgen A.

2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society Press, 2017. 8092616 (IEEE International Ultrasonics Symposium, IUS).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt

Harvard

Di Ianni, T, Hoyos, CAV, Ewertsen, C, Nielsen, MB & Jensen, JA 2017, High-frame-rate imaging of a carotid bifurcation using a low-complexity velocity estimation approach. i 2017 IEEE International Ultrasonics Symposium, IUS 2017., 8092616, IEEE Computer Society Press, IEEE International Ultrasonics Symposium, IUS, 2017 IEEE International Ultrasonics Symposium, IUS 2017, Washington, USA, 06/09/2017. https://doi.org/10.1109/ULTSYM.2017.8092616

APA

Di Ianni, T., Hoyos, C. A. V., Ewertsen, C., Nielsen, M. B., & Jensen, J. A. (2017). High-frame-rate imaging of a carotid bifurcation using a low-complexity velocity estimation approach. I 2017 IEEE International Ultrasonics Symposium, IUS 2017 [8092616] IEEE Computer Society Press. IEEE International Ultrasonics Symposium, IUS https://doi.org/10.1109/ULTSYM.2017.8092616

Vancouver

Di Ianni T, Hoyos CAV, Ewertsen C, Nielsen MB, Jensen JA. High-frame-rate imaging of a carotid bifurcation using a low-complexity velocity estimation approach. I 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society Press. 2017. 8092616. (IEEE International Ultrasonics Symposium, IUS). https://doi.org/10.1109/ULTSYM.2017.8092616

Author

Di Ianni, Tommaso ; Hoyos, Carlos A.Villagomez ; Ewertsen, Caroline ; Nielsen, Michael Bachmann ; Jensen, Jorgen A. / High-frame-rate imaging of a carotid bifurcation using a low-complexity velocity estimation approach. 2017 IEEE International Ultrasonics Symposium, IUS 2017. IEEE Computer Society Press, 2017. (IEEE International Ultrasonics Symposium, IUS).

Bibtex

@inproceedings{5ade6f3effcf4396a3fba7c321aa368d,

title = "High-frame-rate imaging of a carotid bifurcation using a low-complexity velocity estimation approach",

abstract = "Vector flow imaging (VFI) improves the operator's workflow allowing the quantitative evaluation of blood flow with no need for manual angle corrections. Currently, commercial VFI implementations are based on a line-by-line estimation, compromising the frame rate and the possibility of imaging fast flow dynamics. High-frame-rate methods are, however, computationally demanding. The objective of this work is to demonstrate that quantitative VFI can be achieved in-vivo at high-frame-rate using only six pre-beamformed lines and with lowered requirements for the ultrasound system.",

author = "{Di Ianni}, Tommaso and Hoyos, {Carlos A.Villagomez} and Caroline Ewertsen and Nielsen, {Michael Bachmann} and Jensen, {Jorgen A.}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Ultrasonics Symposium, IUS 2017 ; Conference date: 06-09-2017 Through 09-09-2017",

year = "2017",

month = oct,

day = "31",

doi = "10.1109/ULTSYM.2017.8092616",

language = "English",

series = "IEEE International Ultrasonics Symposium, IUS",

publisher = "IEEE Computer Society Press",

booktitle = "2017 IEEE International Ultrasonics Symposium, IUS 2017",

address = "United States",

}

RIS

TY - GEN

T1 - High-frame-rate imaging of a carotid bifurcation using a low-complexity velocity estimation approach

AU - Di Ianni, Tommaso

AU - Hoyos, Carlos A.Villagomez

AU - Ewertsen, Caroline

AU - Nielsen, Michael Bachmann

AU - Jensen, Jorgen A.

PY - 2017/10/31

Y1 - 2017/10/31

N2 - Vector flow imaging (VFI) improves the operator's workflow allowing the quantitative evaluation of blood flow with no need for manual angle corrections. Currently, commercial VFI implementations are based on a line-by-line estimation, compromising the frame rate and the possibility of imaging fast flow dynamics. High-frame-rate methods are, however, computationally demanding. The objective of this work is to demonstrate that quantitative VFI can be achieved in-vivo at high-frame-rate using only six pre-beamformed lines and with lowered requirements for the ultrasound system.

AB - Vector flow imaging (VFI) improves the operator's workflow allowing the quantitative evaluation of blood flow with no need for manual angle corrections. Currently, commercial VFI implementations are based on a line-by-line estimation, compromising the frame rate and the possibility of imaging fast flow dynamics. High-frame-rate methods are, however, computationally demanding. The objective of this work is to demonstrate that quantitative VFI can be achieved in-vivo at high-frame-rate using only six pre-beamformed lines and with lowered requirements for the ultrasound system.

UR - http://www.scopus.com/inward/record.url?scp=85039422106&partnerID=8YFLogxK

U2 - 10.1109/ULTSYM.2017.8092616

DO - 10.1109/ULTSYM.2017.8092616

M3 - Article in proceedings

AN - SCOPUS:85039422106

T3 - IEEE International Ultrasonics Symposium, IUS

BT - 2017 IEEE International Ultrasonics Symposium, IUS 2017

PB - IEEE Computer Society Press

T2 - 2017 IEEE International Ultrasonics Symposium, IUS 2017

Y2 - 6 September 2017 through 9 September 2017

ER -

ID: 331496659