Computational fluid dynamics using in vivo ultrasound blood flow measurements

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Standard

Computational fluid dynamics using in vivo ultrasound blood flow measurements. / Traberg, Marie Sand; Pedersen, Mads Møller; Hemmsen, Martin Christian; Nielsen, Michael Bachmann; Jensen, Jørgen Arendt.

Proceedings of IEEE International Ultrasonics Symposium. IEEE, 2012.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Harvard

Traberg, MS, Pedersen, MM, Hemmsen, MC, Nielsen, MB & Jensen, JA 2012, 'Computational fluid dynamics using in vivo ultrasound blood flow measurements'. in Proceedings of IEEE International Ultrasonics Symposium. IEEE.

APA

Traberg, M. S., Pedersen, M. M., Hemmsen, M. C., Nielsen, M. B., & Jensen, J. A. (2012). Computational fluid dynamics using in vivo ultrasound blood flow measurements. In Proceedings of IEEE International Ultrasonics Symposium. IEEE.

CBE

Traberg MS, Pedersen MM, Hemmsen MC, Nielsen MB, Jensen JA. 2012. Computational fluid dynamics using in vivo ultrasound blood flow measurements. In Proceedings of IEEE International Ultrasonics Symposium. IEEE.

MLA

Vancouver

Traberg MS, Pedersen MM, Hemmsen MC, Nielsen MB, Jensen JA. Computational fluid dynamics using in vivo ultrasound blood flow measurements. In Proceedings of IEEE International Ultrasonics Symposium. IEEE. 2012.

Author

Traberg, Marie Sand; Pedersen, Mads Møller; Hemmsen, Martin Christian; Nielsen, Michael Bachmann; Jensen, Jørgen Arendt / Computational fluid dynamics using in vivo ultrasound blood flow measurements.

Proceedings of IEEE International Ultrasonics Symposium. IEEE, 2012.

Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

Bibtex

@inbook{a72a75f042fa40b0908234af3706d6dd,
title = "Computational fluid dynamics using in vivo ultrasound blood flow measurements",
publisher = "IEEE",
author = "Traberg, {Marie Sand} and Pedersen, {Mads Møller} and Hemmsen, {Martin Christian} and Nielsen, {Michael Bachmann} and Jensen, {Jørgen Arendt}",
year = "2012",
booktitle = "Proceedings of IEEE International Ultrasonics Symposium",

}

RIS

TY - GEN

T1 - Computational fluid dynamics using in vivo ultrasound blood flow measurements

A1 - Traberg,Marie Sand

A1 - Pedersen,Mads Møller

A1 - Hemmsen,Martin Christian

A1 - Nielsen,Michael Bachmann

A1 - Jensen,Jørgen Arendt

AU - Traberg,Marie Sand

AU - Pedersen,Mads Møller

AU - Hemmsen,Martin Christian

AU - Nielsen,Michael Bachmann

AU - Jensen,Jørgen Arendt

PB - IEEE

PY - 2012

Y1 - 2012

N2 - This paper presents a model environment for construction of patient-specific computational fluid dynamic (CFD) models for the abdominal aorta (AA). Realistic pulsatile velocity waveforms are employed by using in vivo ultrasound blood flow measurements. Ultrasound is suitable for acquisition of blood<br/>velocity profiles, but these are influenced by noise, which will cause convergence problems in CFD simulations. Therefore, physiological smoothing of the velocity profiles is needed. This paper uses the Womersley-Evans model for physiological smoothing of measured blood velocity profiles in the AA. The geometry for the CFD simulation model was obtained by segmentation of MRI scans using a 3 Tesla scanner (Magnetom Trio, Siemens Healthcare, Erlangen, Germany). Spectral velocity data were obtained from a BK Medical ProFocus scanner using a research interface. All data were obtained from healthy volunteers. The estimated and smoothed velocity profiles were quantitatively compared. The energy contained in the velocity profile after smoothing is 65% larger relative to the noise contaminated estimated profiles. In conclusion, a model environment that produces realistic patient-specific CFD simulation models without<br/>convergence issues has been developed. The data processing for the model environment can be performed within six hours which is fast enough to be used in the clinical setting.

AB - This paper presents a model environment for construction of patient-specific computational fluid dynamic (CFD) models for the abdominal aorta (AA). Realistic pulsatile velocity waveforms are employed by using in vivo ultrasound blood flow measurements. Ultrasound is suitable for acquisition of blood<br/>velocity profiles, but these are influenced by noise, which will cause convergence problems in CFD simulations. Therefore, physiological smoothing of the velocity profiles is needed. This paper uses the Womersley-Evans model for physiological smoothing of measured blood velocity profiles in the AA. The geometry for the CFD simulation model was obtained by segmentation of MRI scans using a 3 Tesla scanner (Magnetom Trio, Siemens Healthcare, Erlangen, Germany). Spectral velocity data were obtained from a BK Medical ProFocus scanner using a research interface. All data were obtained from healthy volunteers. The estimated and smoothed velocity profiles were quantitatively compared. The energy contained in the velocity profile after smoothing is 65% larger relative to the noise contaminated estimated profiles. In conclusion, a model environment that produces realistic patient-specific CFD simulation models without<br/>convergence issues has been developed. The data processing for the model environment can be performed within six hours which is fast enough to be used in the clinical setting.

BT - Proceedings of IEEE International Ultrasonics Symposium

T2 - Proceedings of IEEE International Ultrasonics Symposium

ER -