Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations

Ted A. Laurence; Sonny Ly; Erika Fong; Maxim Shusteff; Amanda Randles; John Gounley; Erik Draeger

doi:10.1117/12.2253319

Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations

Ted A. Laurence, Sonny Ly, Erika Fong, Maxim Shusteff, Amanda Randles, John Gounley, Erik Draeger

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The utility and accuracy of computational modeling often requires direct validation against experimental measurements. The work presented here is motivated by taking a combined experimental and computational approach to determine the ability of large-scale computational fluid dynamics (CFD) simulations to understand and predict the dynamics of circulating tumor cells in clinically relevant environments. We use stroboscopic light sheet fluorescence imaging to track the paths and measure the velocities of fluorescent microspheres throughout a human aorta model. Performed over complex physiologicallyrealistic 3D geometries, large data sets are acquired with microscopic resolution over macroscopic distances.

Original language	English
Title of host publication	High-Speed Biomedical Imaging and Spectroscopy
Subtitle of host publication	Toward Big Data Instrumentation and Management II
Editors	Kevin K. Tsia, Keisuke Goda
Publisher	SPIE
ISBN (Electronic)	9781510605930
DOIs	https://doi.org/10.1117/12.2253319
State	Published - 2017
Externally published	Yes
Event	High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II 2017 - San Francisco, United States Duration: Jan 30 2017 → Feb 1 2017

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	10076
ISSN (Print)	1605-7422

Conference

Conference	High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II 2017
Country/Territory	United States
City	San Francisco
Period	01/30/17 → 02/1/17

Funding

This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344 within the LDRD program.

Keywords

Computational Fluid Dynamics
Stroboscopic imaging

Access to Document

10.1117/12.2253319

Cite this

Laurence, T. A., Ly, S., Fong, E., Shusteff, M., Randles, A., Gounley, J., & Draeger, E. (2017). Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations. In K. K. Tsia, & K. Goda (Eds.), High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II Article 100761E (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10076). SPIE. https://doi.org/10.1117/12.2253319

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title = "Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations",

abstract = "The utility and accuracy of computational modeling often requires direct validation against experimental measurements. The work presented here is motivated by taking a combined experimental and computational approach to determine the ability of large-scale computational fluid dynamics (CFD) simulations to understand and predict the dynamics of circulating tumor cells in clinically relevant environments. We use stroboscopic light sheet fluorescence imaging to track the paths and measure the velocities of fluorescent microspheres throughout a human aorta model. Performed over complex physiologicallyrealistic 3D geometries, large data sets are acquired with microscopic resolution over macroscopic distances.",

keywords = "Computational Fluid Dynamics, Stroboscopic imaging",

author = "Laurence, \{Ted A.\} and Sonny Ly and Erika Fong and Maxim Shusteff and Amanda Randles and John Gounley and Erik Draeger",

note = "Publisher Copyright: Copyright {\textcopyright} 2017 SPIE.; High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II 2017 ; Conference date: 30-01-2017 Through 01-02-2017",

year = "2017",

doi = "10.1117/12.2253319",

language = "English",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

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editor = "Tsia, \{Kevin K.\} and Keisuke Goda",

booktitle = "High-Speed Biomedical Imaging and Spectroscopy",

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Laurence, TA, Ly, S, Fong, E, Shusteff, M, Randles, A, Gounley, J & Draeger, E 2017, Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations. in KK Tsia & K Goda (eds), High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II., 100761E, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10076, SPIE, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II 2017, San Francisco, United States, 01/30/17. https://doi.org/10.1117/12.2253319

Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations. / Laurence, Ted A.; Ly, Sonny; Fong, Erika et al.
High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II. ed. / Kevin K. Tsia; Keisuke Goda. SPIE, 2017. 100761E (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10076).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations

AU - Laurence, Ted A.

AU - Ly, Sonny

AU - Fong, Erika

AU - Shusteff, Maxim

AU - Randles, Amanda

AU - Gounley, John

AU - Draeger, Erik

PY - 2017

Y1 - 2017

N2 - The utility and accuracy of computational modeling often requires direct validation against experimental measurements. The work presented here is motivated by taking a combined experimental and computational approach to determine the ability of large-scale computational fluid dynamics (CFD) simulations to understand and predict the dynamics of circulating tumor cells in clinically relevant environments. We use stroboscopic light sheet fluorescence imaging to track the paths and measure the velocities of fluorescent microspheres throughout a human aorta model. Performed over complex physiologicallyrealistic 3D geometries, large data sets are acquired with microscopic resolution over macroscopic distances.

AB - The utility and accuracy of computational modeling often requires direct validation against experimental measurements. The work presented here is motivated by taking a combined experimental and computational approach to determine the ability of large-scale computational fluid dynamics (CFD) simulations to understand and predict the dynamics of circulating tumor cells in clinically relevant environments. We use stroboscopic light sheet fluorescence imaging to track the paths and measure the velocities of fluorescent microspheres throughout a human aorta model. Performed over complex physiologicallyrealistic 3D geometries, large data sets are acquired with microscopic resolution over macroscopic distances.

KW - Computational Fluid Dynamics

KW - Stroboscopic imaging

UR - https://www.scopus.com/pages/publications/85020265229

U2 - 10.1117/12.2253319

DO - 10.1117/12.2253319

M3 - Conference contribution

AN - SCOPUS:85020265229

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - High-Speed Biomedical Imaging and Spectroscopy

A2 - Tsia, Kevin K.

A2 - Goda, Keisuke

PB - SPIE

T2 - High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II 2017

Y2 - 30 January 2017 through 1 February 2017

ER -

Laurence TA, Ly S, Fong E, Shusteff M, Randles A, Gounley J et al. Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations. In Tsia KK, Goda K, editors, High-Speed Biomedical Imaging and Spectroscopy: Toward Big Data Instrumentation and Management II. SPIE. 2017. 100761E. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2253319

Using stroboscopic flow imaging to validate large-scale computational fluid dynamics simulations

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