Visualizing multiscale, multiphysics simulation data: Brain blood flow

Accurately predicting many physical and biological systems requires modeling interactions of macroscopic and microscopic events. This results in large and heterogeneous data sets on vastly differing scales, both physical and temporal. The ability to use a single integrated tool for the visualization...

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Vydáno v:2011 IEEE Symposium on Large Data Analysis and Visualization s. 3 - 7
Hlavní autoři: Insley, J. A., Grinberg, L., Papka, M. E.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.10.2011
Témata:
Aneurysm
Biological system modeling
Blood
Brain modeling
Computational modeling
Data models
Data visualization
I.3.8 [Computer Applications]: Computer Graphics-Applications
I.6 [Computing Methodologies]: Simulation and Modeling-applications
J.2 [Computer Applications]: Physical Sciences and Engineering-Physics
simulation output analysis
ISBN:9781467301565, 1467301566
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Shrnutí:Accurately predicting many physical and biological systems requires modeling interactions of macroscopic and microscopic events. This results in large and heterogeneous data sets on vastly differing scales, both physical and temporal. The ability to use a single integrated tool for the visualization of multiscale simulation data is important to understanding the effects that events at one scale have on events in the other. In the case of blood flow, we examine how the large-scale flow patterns influence blood cell behavior. In this paper we describe the visualization tools that were developed for data from coupled continuum - atomistic simulations. Specifically, we overview a) a custom ParaView reader plug-in that processes macro-scale continuum data computed by a high-order spectral element solver; and b) an adaptive proper orthogonal decomposition-based technique for the visualization of nonstationary velocity fields from atomistic simulations. We also discuss how the ParaView parallel processing and rendering infrastructure was leveraged in the new tools. We apply our methods to visualize multiscale data from coupled continuum-atomistic simulations of blood flow in a patient-specific cerebrovasculature with a brain aneurysm.
ISBN:9781467301565
1467301566
DOI:10.1109/LDAV.2011.6092176