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

被引:0
|
作者
Laurence, Ted A. [1 ]
Ly, Sonny [1 ]
Fong, Erika [1 ]
Shusteff, Maxim [1 ]
Randles, Amanda [2 ]
Gounley, John [2 ]
Draeger, Erik [1 ]
机构
[1] Lawrence Livermore Natl Lab, 7000 East Ave, Livermore, CA 94550 USA
[2] Duke Univ, Durham, NC USA
关键词
Stroboscopic imaging; Computational Fluid Dynamics; CANCER;
D O I
10.1117/12.2253319
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Large-scale simulations of the ribosome: a new landmark in computational biology
    Sanbonmatsu, K. Y.
    Tung, C. -S.
    SCIDAC 2006: SCIENTIFIC DISCOVERY THROUGH ADVANCED COMPUTING, 2006, 46 : 334 - 342
  • [42] Impact of multicores on large-scale molecular dynamics simulations
    Alam, Sadaf R.
    Agarwal, Pratul K.
    Hampton, Scott S.
    Ong, Hong
    Vetter, Jeffrey S.
    2008 IEEE INTERNATIONAL SYMPOSIUM ON PARALLEL & DISTRIBUTED PROCESSING, VOLS 1-8, 2008, : 544 - 550
  • [43] Large-scale molecular dynamics simulations of fracture and deformation
    Los Alamos Natl Lab, Los Alamos, United States
    J Comput Aid Mat Des, 1-3 (183-186):
  • [44] Large-scale molecular simulations of dynamics in mechanical proteins
    Dima, Ruxandra I.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2011, 242
  • [45] Modulating factors of hydrologic exchanges in a large-scale river reach: Insights from three-dimensional computational fluid dynamics simulations
    Bao, Jie
    Zhou, Tian
    Huang, Maoyi
    Hou, Zhangshuan
    Perkins, William
    Harding, Samuel
    Titzler, Scott
    Hammond, Glenn
    Ren, Huiying
    Thorne, Paul
    Suffield, Sarah
    Murray, Christopher
    Zachara, John
    HYDROLOGICAL PROCESSES, 2018, 32 (23) : 3446 - 3463
  • [46] Parallel computation of large-scale molecular dynamics simulations
    Kwon, Sungjin
    Lee, Youngmin
    Im, Seyoung
    Experimental Mechanics in Nano and Biotechnology, Pts 1 and 2, 2006, 326-328 : 341 - 344
  • [47] Experimental Validation of Computational Models for Large-Scale Nonlinear Ultrasound Simulations in Heterogeneous, Absorbing Fluid Media
    Martin, Elly
    Treeby, Bradley E.
    RECENT DEVELOPMENTS IN NONLINEAR ACOUSTICS, 2015, 1685
  • [48] Large-scale transitional dynamics in pipe flow
    Mellibovsky, F.
    Meseguer, A.
    Schneider, T. M.
    Eckhardt, B.
    ADVANCES IN TURBULENCE XII - PROCEEDINGS OF THE 12TH EUROMECH EUROPEAN TURBULENCE CONFERENCE, 2009, 132 : 137 - 140
  • [49] Complex fluid-dynamical phenomena modeled by large-scale molecular-dynamics simulations
    Alda, W
    Dzwinel, W
    Kitowski, J
    Moscinski, J
    Pogoda, M
    Yuen, DA
    COMPUTERS IN PHYSICS, 1998, 12 (06): : 595 - 600
  • [50] Utilising computational fluid dynamics (CFD) for the modelling of granular material in large-scale engineering processes
    Christakis, N
    Chapelle, P
    Patel, MK
    Cross, M
    Bridle, I
    Abou-Chakra, H
    Baxter, J
    COMPUTATIONAL SCIENCE-ICCS 2002, PT I, PROCEEDINGS, 2002, 2329 : 743 - 752